Influence of Safety Climate on Safety Performance in Gas Stations in Indonesia

Accidents in gas stations may cause injury or even death to people. Moreover, an accident in a gas station might halt its operation for some time. When an accident takes place in a region with scant amount of gas stations, it may lead to fuel scarcity in the area, affecting the economy and sparking other issues. Therefore, safety climate and safety performance in gas stations need to be evaluated. Safety climate has been used as a tool to assess the safety performance of an organization at a given time. The aim of this study was to understand the influence of safety climate on safety performance in gas stations in Indonesia. A total of 129 gas stations were selected. To assess safety climate, a safety climate questionnaire was used, while the safety performance was captured by conducting on site structured observations. The assessment shows that gas stations have a good level of safety climate, especially when it is compared with other industrial sectors in Indonesia, such as construction. The study findings also show that safety climate has a significant positive impact on safety performance. Three safety climate dimensions with significant positive influence on safety performance are management commitment, communication, and personal accountability. Therefore, improvement efforts should focus more on these dimensions to boost safety performance in gas stations

Comparing safety climate in infrastructure and building projects in Indonesia

Despite the rapid growth of the Indonesian construction industry and its significance to the national economy, health and safety in the industry remains poor. This research focuses on safety climate, a popular indicator of health and safety performance that has not been adequately investigated in the Indonesian construction industry despite the size of the country and the poor health and safety record of the industry. Specifically, this research aims to compare the safety climate levels in infrastructure and building projects and identify factors that account for their differences or similarities. A safety climate questionnaire was distributed to respondents working in an infrastructure project and two medium-rise building projects, where 311 respondents participated in total. The findings show that the building projects have a higher level of safety climate than the safety climate in the infrastructure project despite the fact that the infrastructure project was managed by a joint venture involving international contractors known for their health and safety commitment. We argue that project complexity is the main factor responsible for explaining this difference. Complex projects require stringent enforcement of health and safety rules and procedures, and supportive work environments conducive for health and safety implementation

Current profiles and AC losses of a superconducting strip with elliptic cross-section in perpendicular magnetic field

The case of a hard type II superconductor in the form of strip with elliptic cross-section when placed in transverse magnetic field is studied. We approach the problem in two steps, both based on the critical-state model. First we calculate numerically the penetrated current profiles that ensure complete shielding in the interior, without assuming an a priori form for the profiles. In the second step we introduce an analytical approximation that asumes that the current profiles are ellipses. Expressions linking the sample magnetization to the applied field are derived covering the whole range of applied fields. The theoretical predictions are tested by the comparison with experimental data for the imaginary part of AC susceptibility.Comment: 12 pages; 3 figure

MScMS-II: an innovative IR-based indoor coordinate measuring system for large-scale metrology applications

According to the current great interest concerning large-scale metrology applications in many different fields of manufacturing industry, technologies and techniques for dimensional measurement have recently shown a substantial improvement. Ease-of-use, logistic and economic issues, as well as metrological performance are assuming a more and more important role among system requirements. This paper describes the architecture and the working principles of a novel infrared (IR) optical-based system, designed to perform low-cost and easy indoor coordinate measurements of large-size objects. The system consists of a distributed network-based layout, whose modularity allows fitting differently sized and shaped working volumes by adequately increasing the number of sensing units. Differently from existing spatially distributed metrological instruments, the remote sensor devices are intended to provide embedded data elaboration capabilities, in order to share the overall computational load. The overall system functionalities, including distributed layout configuration, network self-calibration, 3D point localization, and measurement data elaboration, are discussed. A preliminary metrological characterization of system performance, based on experimental testing, is also presente

Entropy on Spin Factors

Recently it has been demonstrated that the Shannon entropy or the von Neuman entropy are the only entropy functions that generate a local Bregman divergences as long as the state space has rank 3 or higher. In this paper we will study the properties of Bregman divergences for convex bodies of rank 2. The two most important convex bodies of rank 2 can be identified with the bit and the qubit. We demonstrate that if a convex body of rank 2 has a Bregman divergence that satisfies sufficiency then the convex body is spectral and if the Bregman divergence is monotone then the convex body has the shape of a ball. A ball can be represented as the state space of a spin factor, which is the most simple type of Jordan algebra. We also study the existence of recovery maps for Bregman divergences on spin factors. In general the convex bodies of rank 2 appear as faces of state spaces of higher rank. Therefore our results give strong restrictions on which convex bodies could be the state space of a physical system with a well-behaved entropy function.Comment: 30 pages, 6 figure

Hospital preparedness for COVID-19 in Indonesia

Introduction: As a disaster-prone country, hospital preparedness in dealing with disasters in Indonesia is essential. This research, therefore, focuses specifically on hospital preparedness for COVID-19 in Indonesia, which is important given the indication that the pandemic will last for the foreseeable future. Methods: During March to September 2022, a cross-sectional approach and a quantitative study was conducted in accordance with the research objective to assess hospital preparedness for the COVID-19 pandemic. This research shows the level of readiness based on the 12 components of the rapid hospital readiness checklist for COVID-19 published by the World Health Organization (WHO). Evaluators from 11 hospitals in four provinces in Indonesia (Capital Special Region of Jakarta, West Java, Special Region of Yogyakarta, and North Sumatra) filled out the form in the COVID-19 Hospital Preparedness Information system, which was developed to assess the level of hospital readiness. Results: The results show that hospitals in Capital Special Region of Jakarta and Special Region of Yogyakarta have adequate level (≥ 80%). Meanwhile, the readiness level of hospitals in West Java and North Sumatra varies from adequate level (≥ 80%), moderate level (50% – 79%), to not ready level (≤ 50%). Conclusion: The findings and the methods adopted in this research are valuable for policymakers and health professionals to have a holistic view of hospital preparedness for COVID-19 in Indonesia so that resources can be allocated more effectively to improve readiness

LNK (SH2B3): paradoxical effects in ovarian cancer.

LNK (SH2B3) is an adaptor protein studied extensively in normal and malignant hematopoietic cells. In these cells, it downregulates activated tyrosine kinases at the cell surface resulting in an antiproliferative effect. To date, no studies have examined activities of LNK in solid tumors. In this study, we found by in silico analysis and staining tissue arrays that the levels of LNK expression were elevated in high-grade ovarian cancer. To test the functional importance of this observation, LNK was either overexpressed or silenced in several ovarian cancer cell lines. Remarkably, overexpression of LNK rendered the cells resistant to death induced by either serum starvation or nutrient deprivation, and generated larger tumors using a murine xenograft model. In contrast, silencing of LNK decreased ovarian cancer cell growth in vitro and in vivo. Western blot studies indicated that overexpression of LNK upregulated and extended the transduction of the mitogenic signal, whereas silencing of LNK produced the opposite effects. Furthermore, forced expression of LNK reduced cell size, inhibited cell migration and markedly enhanced cell adhesion. Liquid chromatography-mass spectroscopy identified 14-3-3 as one of the LNK-binding partners. Our results suggest that in contrast to the findings in hematologic malignancies, the adaptor protein LNK acts as a positive signal transduction modulator in ovarian cancers

Impact of Investor's Varying Risk Aversion on the Dynamics of Asset Price Fluctuations

While the investors' responses to price changes and their price forecasts are well accepted major factors contributing to large price fluctuations in financial markets, our study shows that investors' heterogeneous and dynamic risk aversion (DRA) preferences may play a more critical role in the dynamics of asset price fluctuations. We propose and study a model of an artificial stock market consisting of heterogeneous agents with DRA, and we find that DRA is the main driving force for excess price fluctuations and the associated volatility clustering. We employ a popular power utility function, $U(c,\gamma)=\frac{c^{1-\gamma}-1}{1-\gamma}$ with agent specific and time-dependent risk aversion index, $\gamma_i(t)$, and we derive an approximate formula for the demand function and aggregate price setting equation. The dynamics of each agent's risk aversion index, $\gamma_i(t)$ (i=1,2,...,N), is modeled by a bounded random walk with a constant variance $\delta^2$. We show numerically that our model reproduces most of the ``stylized'' facts observed in the real data, suggesting that dynamic risk aversion is a key mechanism for the emergence of these stylized facts.Comment: 17 pages, 7 figure