scholarly journals Mobilizing COVID-19 Testing: Impact and Challenges

2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S110-S110
Author(s):  
R Odenbrett ◽  
D Ingemansen ◽  
T Baumgart ◽  
V Hieb ◽  
A Ross ◽  
...  
Keyword(s):  
Inventory Management ◽  
Successful Implementation ◽  
Sample Collection ◽  
Site Testing ◽  
Testing Program ◽  
Result Verification ◽  
Public Health Reporting ◽  
Percent Positivity ◽  
Wide Range ◽  
The Impact

Abstract Introduction/Objective In response to the rapidly evolving COVID-19 pandemic, Sanford Health developed a mobile diagnostic testing program capable of reaching geographically dispersed sites and communities. These mobile laboratories provided on-site testing and sensitive detection of SARS-CoV-2 by leveraging Cepheid’s GeneXpert platform, enabling rapid reporting of results directly to the patient and physician. Aggregation of these results allowed monitoring population infection rates and public health reporting. Methods/Case Report Within 3 weeks of conception, the first mobile unit was designed, engineered and deployed. Key requirements for successful implementation included mobile lab licensure, CLIA certification, COLA enrollment, Quality and Risk assessments, inventory management, lab maintenance and ongoing monitoring. Testing was performed using the Xpert Xpress SARS-CoV-2 test and the population tested were primarily asymptomatic individuals. Results (if a Case Study enter NA) Between May 3rd, 2020 and June 23rd, 2021, a total of 31,148 Xpert Xpress SARS-CoV-2 tests were run across 3 mobile laboratories, with an average of 600 tests performed per week. The percent positivity ranged from 0% to 5.8%, reaching highest positivity in week beginning May 10th, 2020. The average turnaround time from sample collection to result verification was 2.0 hours, and the average time from sample receipt to result verification was under 1 hour. Conclusion Sanford Health’s mobile testing program brings SARS-CoV-2 PCR testing to the community and dramatically reduces the time from sample collection to result reporting compared with traditional testing labs, enabling rapid intervention following a positive result. The flexibility of the GeneXpert platform, including the instrument’s robustness, the independently functioning analyzers, and the wide range of tests available, makes it particularly well suited to mobile laboratories. This program demonstrates the impact of on-site testing and highlights the challenges that were overcome for successful implementation, providing a blueprint to support the development of other mobile laboratories in the US.

ANALISIS FAKTOR KEPERCAYAAN TERHADAP TEKNOLOGI PADA KEINGINAN MASYARAKAT DALAM MENGADOPSI E-VOTING

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Anik Hanifatul Azizah
Keyword(s):  
New Technologies ◽  
New Technology ◽  
Positive Influence ◽  
Successful Implementation ◽  
Intention To Use ◽  
Actual System ◽  
Wide Range ◽  
Voting System ◽  
The Government ◽  
The Impact

[Id]Berkembangnya penggunaan mesin e-voting dan meningkatnya penerapan pemilu dalam jaringan (daring) mengindikasikan bahwa masyarakat percaya akan performansi teknologi informasi dalam meningkatkan proses pemilu. Kesuksesan implementasi teknologi informasi mutlak dibutuhkan, Sebagai dukungan kesuksesan tersebut diperlukan analisis yang mendalam. Sebelum mengimplementasikan teknologi e-voting, pemerintah perlu mengetahui tingkat kesediaan (willingness) masyarakat untuk menggunakan teknologi baru. Tingkatan tertentu bahwa ekspektasi seseorang dapat terpenuhi dengan baik adalah definisi dari kepercayaan (trust). Kepercayaan masyarakat teridentifikasi sebagai faktor utama untuk mempengaruhi niat/ kemauan masyarakat menggunakan sebuah teknologi. Penelitian ini menganalisis pengaruh dari faktor kepercayaan terhadap niat untuk menggunakan e-voting. Penelitian ini mengusulkan sebuah model yang menggambarkan niat masyarakat untuk menggunakan e-voting (Intention to use) dengan mengidentifikasi kepercayaan masyarakat terhadap teknologi (trust of technology). Trust dibagi menjadi beberapa faktor yang lebih spesifik. Kuisioner kertas disebarkan kepada 370 masyarakat negara Indonesia dan 346 di antaranya valid. Kuisioner disebarkan secara langsung oleh surveyor kepada masyarakat yang telah memiliki hak pilih dan disebar secara merata kepada golongan umur yang bervariasi, serta tingkat Pendidikan maupun profesi yang beragam. Hasil penelitian menunjukkan bahwa semakin tinggi Trust of Technology (TOT) dapat meningkatkan niat masyarakat untuk menggunakan e-voting (Intention to Use E-voting - ITU). Ditemukan juga beberapa faktor dapat mempengaruhi pengaruh positif terhadap kepercayaan masyarakat terhadap teknologi. Hasil dari penelitian ini menunjukkan bahwa pemerintah diharapkan untuk memperhatikan fakto-faktor yang mempengaruhi kepercayaan masyarakat yang berujung niat dan kemauan masyarakat untuk menggunakan e-voting sebelum menerapkan e-voting tersebut.Kata Kunci: Kepercayaan, Keinginan, Keamanan, Validitas, Pemilu.[En]Increasing adoption of the electronic voting machine and rising pilot testing of internet voting suggests people believe that ICT can improve the electoral process. Since every new technology adoption needs to achieve successful implementation, deeper analysis on several sides was needed to support it. Before implementing a particular e-voting technology, the government needs to know the level of citizen willingness to adopt those new technologies. The expectancy that promise of an individual or group can be relied upon is defined as trust. The citizen trust can be identified by certain factors that lead to intention to use actual system. This study analyzes the impact of trustworthiness on citizen intention to use e-voting system in a developing country. The research proposes a model of e-voting adoption intention by investigating citizen trustworthiness from trust of technology (TOT). The trust was expanded to more specific unique factors. Offline questionnaires were spreaded to 370 respondents and 346 of them were valid. Questionnaires were distributed directly by surveyors to people who have the right to vote and distributed equally for a wide range of ages, as well as varying levels of education and professions. The results indicate that higher TOT increase citizen intention to use e-voting, and also several key determinants have positive influence on the citizen trust. This result suggested that government should first comply with several factors in citizen trustworthiness before conducting an e-voting system.

A Colored Petri Net-based modeling method for supply chain inventory management

SIMULATION ◽  
2021 ◽  
pp. 003754972110387
Author(s):  
Maria Drakaki ◽  
Panagiotis Tzionas
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Petri Net ◽  
Simulation Modeling ◽  
Modeling Method ◽  
Operating Conditions ◽  
Supply Chain Performance ◽  
Colored Petri Net ◽  
Wide Range ◽  
The Impact

Supply chain planning and control approaches need to include a wide range of factors in order to optimize production. Supply chain simulation modeling has been identified as a potential methodology toward increasing the efficiency of current systems to this end. The purpose of this paper is to evaluate the impact of inventory management decisions on supply chain performance using a Colored Petri Net based simulation modeling method. The presented method uses hierarchical timed Colored Petri Nets to model inventory management in a multi-stage serial supply chain, under normal operating conditions, and under the presence of disruptions, for both traditional and information sharing configurations. Disruptions are introduced as canceled orders and canceled deliveries, in a time period. Supply chain performance has been evaluated, in the context of order variance amplification and stockout amplification. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results, as well as by state space analysis results.

scholarly journals Approaches to minimising the epidemiological impact of sources of systematic and random variation that may affect biochemistry assay data in UK Biobank

2021 ◽  
Vol 5 ◽  
pp. 222
Author(s):  
Naomi E. Allen ◽  
Matthew Arnold ◽  
Sarah Parish ◽  
Michael Hill ◽  
Simon Sheard ◽  
...  
Keyword(s):  
Uk Biobank ◽  
Sample Collection ◽  
Sodium Potassium ◽  
Reactive Protein ◽  
Serum Assay ◽  
Wide Range ◽  
Epidemiological Impact ◽  
The Uk ◽  
The Impact ◽  
Random Variation

Background: UK Biobank is a large prospective study that recruited 500,000 participants aged 40 to 69 years, between 2006-2010.The study has collected (and continues to collect) extensive phenotypic and genomic data about its participants. In order to enhance further the value of the UK Biobank resource, a wide range of biochemistry markers were measured in all participants with an available biological sample. Here, we describe the approaches UK Biobank has taken to minimise error related to sample collection, processing, retrieval and assay measurement. Methods: During routine quality control checks, the laboratory team observed that some assay results were lower than expected for samples acquired during certain time periods. Analyses were undertaken to identify and correct for the unexpected dilution identified during sample processing, and for expected error caused by laboratory drift of assay results. Results: The vast majority (92%) of biochemistry serum assay results were assessed to be not materially affected by dilution, with an estimated difference in concentration of less than 1% (i.e. either lower or higher) than that expected if the sample were unaffected; 8.3% were estimated to be diluted by up to 10%; very few samples appeared to be diluted more than this. Biomarkers measured in urine (creatinine, microalbumin, sodium, potassium) and red blood cells (HbA1c) were not affected. In order to correct for laboratory variation over the assay period, all assay results were adjusted for date of assay, with the exception of those that had a high biological coefficient of variation or evident seasonal variability: vitamin D, lipoprotein (a), gamma glutamyltransferase, C-reactive protein and rheumatoid factor. Conclusions: Rigorous approaches related to sample collection, processing, retrieval, assay measurement and data analysis have been taken to mitigate the impact of both systematic and random variation in epidemiological analyses that use the biochemistry assay data in UK Biobank.

scholarly journals Approaches to minimising the epidemiological impact of sources of systematic and random variation that may affect biochemistry assay data in UK Biobank

2020 ◽  
Vol 5 ◽  
pp. 222
Author(s):  
Naomi E. Allen ◽  
Matthew Arnold ◽  
Sarah Parish ◽  
Michael Hill ◽  
Simon Sheard ◽  
...  
Keyword(s):  
Uk Biobank ◽  
Sample Collection ◽  
Sodium Potassium ◽  
Reactive Protein ◽  
Serum Assay ◽  
Wide Range ◽  
Epidemiological Impact ◽  
The Uk ◽  
The Impact ◽  
Random Variation

Background: UK Biobank is a large prospective study that recruited 500,000 participants aged 40 to 69 years, between 2006-2010.The study has collected (and continues to collect) extensive phenotypic and genomic data about its participants. In order to enhance further the value of the UK Biobank resource, a wide range of biochemistry markers were measured in all participants with an available biological sample. Here, we describe the approaches UK Biobank has taken to minimise error related to sample collection, processing, retrieval and assay measurement. Methods: During routine quality control checks, the laboratory team observed that some assay results were lower than expected for samples acquired during certain time periods. Analyses were undertaken to identify and correct for the unexpected dilution identified during sample processing, and for expected error caused by laboratory drift of assay results. Results: The vast majority (92%) of biochemistry serum assay results were assessed to be not materially affected by dilution, with an estimated difference in concentration of less than 1% (i.e. either lower or higher) than that expected if the sample were unaffected; 8.3% were estimated to be diluted by up to 10%; very few samples appeared to be diluted more than this. Biomarkers measured in urine (creatinine, microalbumin, sodium, potassium) and red blood cells (HbA1c) were not affected. In order to correct for laboratory variation over the assay period, all assay results were adjusted for date of assay, with the exception of those that had a high biological coefficient of variation or evident seasonal variability: vitamin D, lipoprotein (a), gamma glutamyltransferase, C-reactive protein and rheumatoid factor. Conclusions: Rigorous approaches related to sample collection, processing, retrieval, assay measurement and data analysis have been taken to mitigate the impact of both systematic and random variation in epidemiological analyses that use the biochemistry assay data in UK Biobank.

Intelligent Waterflood Optimization Advisory System – A Step Change Towards Digital Transformation

2021 ◽  
Author(s):  
Samat Ramatullayev ◽  
Muzahidin Muhamed Salim ◽  
Muhammad Ibrahim ◽  
Hussein Mustapha ◽  
Obeida El Jundi ◽  
...  
Keyword(s):  
Oil Production ◽  
Successful Implementation ◽  
Generation Process ◽  
Data Types ◽  
Production Forecast ◽  
Wide Range ◽  
Monitoring And Surveillance ◽  
End To End ◽  
Reservoir Simulator ◽  
The Impact

Abstract In this paper, we discuss the development of an end-to-end waterflood optimization solution that provides monitoring and surveillance dashboards with artificial intelligence (AI) and machine learning (ML) components to generate and assess insights into waterflood operational efficiency in an automated manner. The solution allows for fast screening of waterflood performance at diverse levels (reservoir, sector, pattern, well) enabling prompt identification of opportunities for immediate uptake into an opportunity management process and for evaluation in AI-driven production forecast solution and/or a reservoir simulator. The process starts with the integration of a wide range of production and reservoir engineering data types from multiple sources. Following this, a series of monitoring and surveillance dashboards of key units and elements of the entire waterflood operations are created. The workflows in these dashboards are framed with key waterflood reservoir and production engineering concepts in mind. The optimization opportunity insights are then extracted using automated traditional and AI/ML algorithms. The identified opportunities are consolidated in an optimization action list. This list is passed to an AI-driven production forecast solution and/or a reservoir simulator to assess the impact of each scenario. The system is designed to improve the business-time decision-making cycle, resulting in increased operational performance and lower waterflood operating costs by consolidating end-to-end optimization workflows in one platform. It incorporates both surface and subsurface aspects of the waterflood and provides a comprehensive understanding of waterflood operations from top-down field, reservoir, sector, pattern and well levels. Its AI/ML components facilitate understanding of producer-injector relationships, injector dynamic performance, underperformance of patterns in the sector as well as evaluating the impact of different optimization scenarios on incremental oil production. The data-driven production forecast component consists of several ML models and is tailored to assess their impact on oil production of different scenarios such as changes in voidage replacement ratio (VRR) in reservoir, sector, pattern and well levels. Opportunities are also converted into reservoir simulator compatible format in an automated manner to assess the impact of different scenarios using more rigorous numerical methods. The scenarios that yield the highest impact are passed to the field operations team for execution. The solution is expected to serve as a benchmark, upon successful implementation, for optimizing injection schemas in any field or reservoir. The novelty of the system lies in automating the insights generation process, in addition to integrating with an AI/ML production forecasting solution and/or a reservoir simulator to assess different optimization scenarios. It is an end-to-end solution for waterflood optimization because of the integration of various components that allow for the identification and assessment of opportunities all in one environment.

scholarly journals Investigation of the impact of stool collection methods on the metabolomics analysis/profiles of infant fecal samples

2021 ◽  
Author(s):  
Chiara-Maria Homann ◽  
Sara Dizzell ◽  
Sandi Azab ◽  
Eileen K Hutton ◽  
Katherine M Morrison ◽  
...  
Keyword(s):  
Stool Sample ◽  
Short Chain Fatty Acids ◽  
Sample Collection ◽  
Fecal Samples ◽  
Wide Range ◽  
Metabolite Profiles ◽  
Comprehensive Metabolomics ◽  
The Impact ◽  
Collection Methods ◽  
Metabolomics Analysis

Metabolomic studies are important to understand microbial metabolism and interaction between the host and the gut microbiome. Although there have been efforts to standardize sample processing in metabolomic studies, infant samples are mostly disregarded. In birth cohort studies, the use of diaper liners is prevalent and its impact on fecal metabolic profile remains untested. In this study, we compared metabolite profiles of fecal samples collected as solid stool and those collected from stool saturated liner. One infant's stool sample was collected in triplicate for solid stool and stool saturated liner. Comprehensive metabolomics analysis of the fecal samples was performed using NMR, UPLC and DI-MS. The total number, identities and concentrations of the metabolites were determined and compared between stool sample collection methods (stool vs. liner). The number and identity of metabolites did not differ between collection methods for NMR and DI-MS when excluding metabolites with a coefficient of variation (CV) > 40%. NMR analysis demonstrated lowest bias between collection methods, and lowest technical precision between triplicates of the same method followed by DI-MS then UPLC. Concentrations of many metabolites from stool and stool saturated liner differed significantly as revealed by Bland-Altman plots and t-tests. Overall, a mean bias of 10.2% in the Bland-Altman analysis was acceptable for some metabolites confirming mutual agreement but not for others with a wide range of bias (-97-117%). Consequently, stool and stool-saturated liner could be used interchangeably only for some select metabolite classes e.g. amino acids. Differences between the metabolomic profiles of solid stool samples and stool saturated liner samples for some important molecules e.g., ethanol, fumarate, short chain fatty acids and bile acids, indicate the need for standardization in stool collection method for metabolomic studies performed in infants.

Living with dams: managing the environmental impacts

Water Policy ◽  
2009 ◽  
Vol 11 (S1) ◽  
pp. 121-139 ◽  
Author(s):  
Matthew McCartney
Keyword(s):  
Environmental Impacts ◽  
Social Consequences ◽  
Economic Consequences ◽  
Successful Implementation ◽  
Wide Range ◽  
Negative Impacts ◽  
To Come ◽  
Economic Constraints ◽  
The Impact ◽  
Near Future

Dams, through disruption of physiochemical and biological processes, have water and associated environmental impacts that have far reaching social and economic consequences. The impact of each dam is unique. It depends not only on the dam structure and the attributes of local biota but also climatic and geomorphic conditions. Given the number of existing dams (over 45,000 large dams) and the large number that may be built in the near future, it is clear that humankind must live with the environmental and social consequences for many decades to come. This paper provides a review of the consequences for ecosystems and biodiversity resulting directly from the presence of dams on rivers, and of constraints and opportunities for environmental protection. It illustrates that a wide range of both technical and non-technical measures has been developed to ameliorate the negative impacts of dams. It argues that relatively few studies have been conducted to evaluate the success of these measures and that it is widely perceived that many interventions fail, either for technical reasons or as a consequence of a variety of socio-economic constraints. It discusses the constraints to successful implementation and mechanisms for promoting, funding and ensuring compliance. Finally, it contends that there is a need to improve environmental practices in the operation of both existing and new dams.

THE IMPACT OF LEADERSHIP PRACTICES TO TEAM MEMBERS’ SATISFACTION

2009 ◽  
Vol 8 (1) ◽  
Author(s):  
Chalimah .
Keyword(s):  
Conflict Resolution ◽  
Leadership Practices ◽  
Hotel Industry ◽  
Leader Behavior ◽  
Team Leader ◽  
Shop Floor ◽  
Team Members ◽  
Top Executives ◽  
Wide Range ◽  
The Impact

eamwork is becoming increasingly important to wide range of operations. It applies to all levels of the company. It is just as important for top executives as it is to middle management, supervisors and shop floor workers. Poor teamwork at any level or between levels can seriously damage organizational effectiveness. The focus of this paper was therefore to examine whether leadership practices consist of team leader behavior, conflict resolution style and openness in communication significantly influenced the team member’s satisfaction in hotel industry. Result indicates that team leader behavior and the conflict resolution style significantly influenced team member satisfaction. It was surprising that openness in communication did not affect significantly to the team members’ satisfaction.

IMPROVEMENT OF INNOVATIVE ACTIVITY OF THE ENTERPRISE

2017 ◽  
Author(s):  
Nataliya Stoyanets ◽  
◽  
Mathias Onuh Aboyi ◽  
Keyword(s):  
Value Chain ◽  
Net Present Value ◽  
Successful Implementation ◽  
Innovative Development ◽  
Technological Equipment ◽  
Alliance Partner ◽  
Innovation Potential ◽  
Wide Range ◽  
Technological Platform ◽  
The Cost

The article defines that for the successful implementation of an innovative project and the introduction of a new product into production it is necessary to use advanced technologies and modern software, which is an integral part of successful innovation by taking into account the life cycle of innovations. It is proposed to consider the general potential of the enterprise through its main components, namely: production and technological, scientific and technical, financial and economic, personnel and actual innovation potential. Base for the introduction of technological innovations LLC "ALLIANCE- PARTNER", which provides a wide range of support and consulting services, services in the employment market, tourism, insurance, translation and more. To form a model of innovative development of the enterprise, it is advisable to establish the following key aspects: the system of value creation through the model of cooperation with partners and suppliers; creating a value chain; technological platform; infrastructure, determine the cost of supply, the cost of activities for customers and for the enterprise as a whole. The system of factors of influence on formation of model of strategic innovative development of the enterprise is offered. The expediency of the cost of the complex of technological equipment, which is 6800.0 thousand UAH, is economically calculated. Given the fact that the company plans to receive funds under the program of socio-economic development of Sumy region, the evaluation of the effectiveness of the innovation project, the purchase of technological equipment, it is determined that the payback period of the project is 3 years 10 months. In terms of net present value (NPV), the project under study is profitable. The project profitability index (PI) meets the requirements for a positive decision on project implementation> 1.0. The internal rate of return of the project (IRR) also has a positive value of 22% because it exceeds the discount rate.

Stress, anxiety, depression and burnout in frontline health care workers during COVID-19 pandemic: a brief systematic review and new data from Russia

2021 ◽  
Author(s):  
Ekaterina Mosolova ◽  
Dmitry Sosin ◽  
Sergey Mosolov
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Female Gender ◽  
Assessment Tools ◽  
Care Workers ◽  
Younger Age ◽  
Wide Range ◽  
Associated Risk Factors ◽  
Anxiety Depression ◽  
The Impact

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.

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