Hepatitis Testing Performance of an Analyzer Integrated into Another Manufacturer’s Automation System

Background The capacity to integrate platforms across vendors and disciplines has become an essential feature in the design of total laboratory automation (TLA) due space and test menu constraints. However, data on its performance are lacking. We aim to evaluate an integrated third-party immunoassay platform to the TLA system for the performance of hepatitis testing using turnaround time (TAT). Methods We use the Beckman Power Express (PE) system with linked 2 Beckman AU5800, 2 Beckman DxI 800, 2 Abbott Architect i2000, and other accessory components. The PE system is managed and interfaced to the laboratory information system (LIS) through Beckman Remisol (middleware) and Cennexus (track software). The hepatitis tests are performed on the Abbott Architect i2000 using Abbott Instrument Manager (middleware) for test results and this is interfaced with LIS and Cennexus. Using Viewics and Microsoft Excel, the test volumes and TAT of hepatitis results were analyzed before (February 2017 to January 2018) and after (February 2018 to January 2019) integration. Results The TAT for each hepatitis test has decreased significantly, ranging from 13 to 81-minute reductions (P value <0.0001 for all tests) after instrument integration. The standard deviations of the TAT also decreased for each test. In addition, savings in labor expenditure of around 2 hours per day were observed. There were no laboratory space savings identified. Instead, 47.6 square foot more of space was utilized by the track connection lines. Conclusions Our findings show significant improvement of TAT of hepatitis testing with the integration of the third-party Abbott Architect i2000 to Beckman PE system. In addition, the synchronization of multiple middleware for specimen management and result reporting allow the laboratory to achieve new efficiencies handling reflex tests and managing human resources.

Influence of Input Value and Labor Expenditure on Output Value: A Case of Micro and Small Scale Industry in Indonesia

Objectives of the study are: (1) to estimate the influence of input value and labor expenditure on the output of micro and small industries in Indonesia, (2) to analyze the form of translog production function that is compatible with micro and small industries in Indonesia. The analytical method used is descriptive method and analysis of translog production functions with scenarios: linear translog function, complete second-order or quadratic linear translog function, and linear translog function with interaction. Results showed that (1) the function of linear translog production with interaction was more suitable used to estimate the production output of micro and small industries in Indonesia, (2) input value and labor expenditure had a positive and significant effect on output values, (3) micro-industry enterprises more emphasis on the allocation of larger workforce, while small-scale industry emphasizes greater allocation of input value, (4) the allocation of input value and labor expenditure are more efficient in micro-industries compared to small-scale industries.

EFEK GANDA DAN PERMINTAAN KONSUMEN OBJEK WISATA DANAU WISATA SEJARAH SEBEDANG DI DESA SEMPALAI KECAMATAN SEBAWI KABUPATEN SAMBAS

Danau Wisata Sejarah Sebedang (DWSS) is one of the tourist attractions located in Sambas district. Most of the economic impacts that exist on these attractions are not widely known. Therefore, there is a need for research to determine the economic value and factors that influence tourism demand for this tourist attraction. The purpose of this research is to analyze the economic impact felt by the surrounding community. To achieve the research objectives used the Travel Cost Method and the Keynesian multiplier. The object of research is visitors who come to DWSS, business units and local workforce. Visitors of Sebedang Lake tourism objects are generally dominated by community groups aged 25 years - 35 years, with high school education level and equivalent, their income level is more than Rp. 2,000,000.00 per month. The factors that influence recreational demand to DWSS are travel costs and travel time. The average tourist expenditure is Rp. 56,295.00 with 3,253 monthly visits. The existence of this DWSS object has an economic impact on the local community around, such as the direct economic impact in the form of business unit owner's income, which is 66%. While the indirect impact in the form of labor income is 1%. Then the further impact is in the form of labor expenditure of 59% which is used for food needs. The Keynesian lncome Multiplier value is 2.64, Type 1 Ratio Income Multiplier is 1.19 and Type 2 Ratio Income Multiplier is 1.21.Keywords : Sebedang Lake,economic impact, Natural Recreation

Insurgency, crime, and agricultural labor expenditure: Evidence from Punjab, 1978-1990

Using micro-level farmer expenditure surveys, this article studies the insurgency in the Punjab region of India, thought to have cost over 20,000 lives. It finds that the violence is statistically associated with an 11.4 percent decline in spending on permanent agricultural labor but did not have a statistically significant effect on the use of temporary labor. Moreover, insurgency-related violence likely signaled an increase in future kidnappings of farm labor and may have incentivized labor away from longer duration contracts. Richer farmsteads appear to be more sensitive to insurgent violence than poorer ones in reducing their labor spending.

Tracking Transportation and Industrial Production across a Nation

With the Freight Analysis Framework as its primary data source, the RUBMRIO (random utility–based multiregional input–output) model is applied for U.S. transportation, production, and trade across more than 3,000 contiguous counties. Driven by foreign export demand, RUBMRIO uses input–output expenditure shares and a nested logit model for shipment origins and mode to simulate trade patterns of commodities among the counties. Network and export demand scenarios were examined for their effects on the distribution of trade flows and production. Changes in export demands for various commodities highlighted the importance of food and petroleum manufacturing sectors in production and labor-expenditure shifts. Transport cost reductions had greater effects on total production than did similar cost increases. The most affected U.S. counties were those centrally located. Changes in travel times along the I-40 corridor had ripple effects on trade patterns everywhere with the greatest changes observed around the corridor's midpoint.