Start-up and performance of partial nitritation process using short-term starvation

This paper summarizes the experiences with the first gas turbine inlet air cooling project in Saudi Arabia. It will cover the feasibility study, cooling system options, overview, system equipment description, process flow diagram, construction, commissioning, start-up and performance of the project which is currently under commissioning and initial start up at Qassim Central Power Plant (QCPP) owned by Saudi Electric Company (S.E.C.) Central Region Branch.

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A machine learning approach to predicting short-term mortality risk in patients starting chemotherapy

10.1101/204081 ◽

2017 ◽

Cited By ~ 2

Author(s):

Aymen A. Elfiky ◽

Maximilian J. Pany ◽

Ravi B. Parikh ◽

Ziad Obermeyer

Keyword(s):

Machine Learning ◽

Mortality Risk ◽

Palliative Chemotherapy ◽

Learning Algorithm ◽

Cancer Center ◽

Short Term ◽

Machine Learning Model ◽

Machine Learning Approach ◽

Short Term Mortality ◽

And Performance

ABSTRACTBackgroundCancer patients who die soon after starting chemotherapy incur costs of treatment without benefits. Accurately predicting mortality risk from chemotherapy is important, but few patient data-driven tools exist. We sought to create and validate a machine learning model predicting mortality for patients starting new chemotherapy.MethodsWe obtained electronic health records for patients treated at a large cancer center (26,946 patients; 51,774 new regimens) over 2004-14, linked to Social Security data for date of death. The model was derived using 2004-11 data, and performance measured on non-overlapping 2012-14 data.Findings30-day mortality from chemotherapy start was 2.1%. Common cancers included breast (21.1%), colorectal (19.3%), and lung (18.0%). Model predictions were accurate for all patients (AUC 0.94). Predictions for patients starting palliative chemotherapy (46.6% of regimens), for whom prognosis is particularly important, remained highly accurate (AUC 0.92). To illustrate model discrimination, we ranked patients initiating palliative chemotherapy by model-predicted mortality risk, and calculated observed mortality by risk decile. 30-day mortality in the highest-risk decile was 22.6%; in the lowest-risk decile, no patients died. Predictions remained accurate across all primary cancers, stages, and chemotherapies—even for clinical trial regimens that first appeared in years after the model was trained (AUC 0.94). The model also performed well for prediction of 180-day mortality (AUC 0.87; mortality 74.8% in the highest risk decile vs. 0.2% in the lowest). Predictions were more accurate than data from randomized trials of individual chemotherapies, or SEER estimates.InterpretationA machine learning algorithm accurately predicted short-term mortality in patients starting chemotherapy using EHR data. Further research is necessary to determine generalizability and the feasibility of applying this algorithm in clinical settings.

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Capital Structure and Firm Performance: Evidence from Malaysian Public Listed Plantation Companies

UNIMAS Review of Accounting and Finance ◽

10.33736/uraf.3536.2021 ◽

2021 ◽

Vol 5 (1) ◽

pp. 123-142

Author(s):

Kim Foong Jee ◽

Jia En Joanne Ngui ◽

Pei Pei Jessica Poh ◽

Wai Loon Chan ◽

Yet Siang Wong

Keyword(s):

Firm Performance ◽

Capital Structure ◽

Significant Relationship ◽

Firm Growth ◽

Control Variable ◽

Short Term ◽

Total Debt ◽

And Performance ◽

The Impact

This paper examines the relationship between capital structure and performance of firms. The study is confined to plantation sector companies in Malaysia and is based on a sample of 39 firms which listed in Bursa Malaysia for the period from 2009 to 2019. This study uses two performance measures which are ROA and ROE as the dependent variable. Besides, the capital structure measures are the short-term debt, long-term debt, total debt and firm growth, which as the independent variables. Size will be the control variable in this study. Moreover, a fixed-effect panel regression analysis has been used to analyse the impact of capital structure on firm performance. The results indicate that firm performance, which is in term of ROA, have an insignificant relationship with short-term debt (STD) and long-term debt (LTD). For the total debt (TD) and growth, there is a significant relationship with ROA. However, for the performance measured by ROE, it has an insignificant relationship with short-term debt (STD), long-term debt (LTD) and total debt (TD). Furthermore, there is a significant relationship between the growth and the performance firms from plantation sector in Malaysia.

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Quick start-up and performance of microbial fuel cell enhanced with a polydiallyldimethylammonium chloride modified carbon felt anode

Biosensors and Bioelectronics ◽

10.1016/j.bios.2018.07.069 ◽

2018 ◽

Vol 119 ◽

pp. 70-78 ◽

Cited By ~ 18

Author(s):

Dengjie Zhong ◽

Xinrong Liao ◽

Yaqi Liu ◽

Nianbing Zhong ◽

Yunlan Xu

Keyword(s):

Fuel Cell ◽

Microbial Fuel Cell ◽

Carbon Felt ◽

Polydiallyldimethylammonium Chloride ◽

Start Up ◽

And Performance

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The Role of Spiritual Capital in Innovation and Performance: Evidence from Developing Economies

Entrepreneurship Theory and Practice ◽

10.1111/etp.12172 ◽

2017 ◽

Vol 41 (4) ◽

pp. 621-640 ◽

Cited By ~ 4

Author(s):

Mitchell J. Neubert ◽

Steven W. Bradley ◽

Retno Ardianti ◽

Edward M. Simiyu

Keyword(s):

Developing Economies ◽

Large Body ◽

Institutional Voids ◽

Spiritual Capital ◽

Social Forms ◽

Significant Relationships ◽

Start Up ◽

Additional Influence ◽

And Performance

Forms of capital play a significant role in the innovation and performance of start–up firms. Current entrepreneurial research has focused on the role of financial, human, and social forms of capital. We build on a large body of theory and research in sociology and economics, proposing spiritual capital as an additional influence where institutional voids are greater in the development contexts studied. Results from microcredit entrepreneurs in Kenya and Indonesia indicate significant relationships between entrepreneurs’ spiritual capital and business innovation and performance, even after accounting for other forms of capital.

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Cold-Water Immersion and Contrast Water Therapy: No Improvement of Short-Term Recovery After Resistance Training

International Journal of Sports Physiology and Performance ◽

10.1123/ijspp.2016-0127 ◽

2017 ◽

Vol 12 (7) ◽

pp. 886-892 ◽

Cited By ~ 3

Author(s):

Christos K. Argus ◽

James R. Broatch ◽

Aaron C. Petersen ◽

Remco Polman ◽

David J. Bishop ◽

...

Keyword(s):

Resistance Training ◽

Performance Measures ◽

Cold Water ◽

Water Immersion ◽

Training Session ◽

Cold Water Immersion ◽

Short Term ◽

Recovery Strategies ◽

And Performance ◽

Contrast Water Therapy

Context:An athlete’s ability to recover quickly is important when there is limited time between training and competition. As such, recovery strategies are commonly used to expedite the recovery process.Purpose:To determine the effectiveness of both cold-water immersion (CWI) and contrast water therapy (CWT) compared with control on short-term recovery (<4 h) after a single full-body resistance-training session.Methods:Thirteen men (age 26 ± 5 y, weight 79 ± 7 kg, height 177 ± 5 cm) were assessed for perceptual (fatigue and soreness) and performance measures (maximal voluntary isometric contraction [MVC] of the knee extensors, weighted and unweighted countermovement jumps) before and immediately after the training session. Subjects then completed 1 of three 14-min recovery strategies (CWI, CWT, or passive sitting [CON]), with the perceptual and performance measures reassessed immediately, 2 h, and 4 h postrecovery.Results:Peak torque during MVC and jump performance were significantly decreased (P < .05) after the resistance-training session and remained depressed for at least 4 h postrecovery in all conditions. Neither CWI nor CWT had any effect on perceptual or performance measures over the 4-h recovery period.Conclusions:CWI and CWT did not improve short-term (<4-h) recovery after a conventional resistance-training session.

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Loop Transient Performance With a Closed Loop sCO2 Brayton Cycle

10.1115/gt2021-04135 ◽

2021 ◽

Author(s):

Stefan D. Cich ◽

J. Jeffrey Moore ◽

Meera Day Towler ◽

Jason Mortzheim

Keyword(s):

Atmospheric Pressure ◽

Closed Loop ◽

Operating Conditions ◽

Department Of Energy ◽

Brayton Cycle ◽

Transient Performance ◽

Start Up ◽

The Us ◽

Successful Testing ◽

And Performance

Abstract Recent testing has been completed on a 1 MWe supercritical carbon dioxide (sCO2) closed loop recuperated cycle under funding from the US Department of Energy (DOE) Sunshot initiative and industry partners. Some of the goals of this funding included the development of a 1 MWe loop, a 10 MWe turbine, and performance and mechanical testing. One of the key challenges that presented itself was the filling, start-up, and shut down of the entire system. Understanding the loop transient performance is important when having to bring a turbine online, transitioning from peak to partial loading, and also managing routine and emergency shut downs. Due to large changes in density near the critical point for CO2 and its tendency to form dry ice when expanded to atmospheric pressure, managing loop filling and venting is critical in ensuring that components are not damaged. With successful testing up to 715°C and 234 bar, this paper will provide updated data to, “Loop Filling and Start Up with a Closed Loop sCO2 Brayton Cycle [1].” While the previous paper focused on early trips and start up challenges, this paper will focus on the specific challenges at maximum operating conditions, and how the loop was managed when getting up to these high temperatures and pressures and how the loop behaved during a high temperature trip when compared to a controlled shut down from maximum operating conditions.

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Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

Remote Sensing ◽

10.3390/rs12162545 ◽

2020 ◽

Vol 12 (16) ◽

pp. 2545 ◽

Cited By ~ 3

Author(s):

Andrea Monti-Guarnieri ◽

Marco Manzoni ◽

Davide Giudici ◽

Andrea Recchia ◽

Stefano Tebaldini

Keyword(s):

Formal Method ◽

Temporal Stability ◽

Sar Interferometry ◽

Synthetic Aperture ◽

Short Term ◽

Realistic Case ◽

X Band ◽

Temporal Decorrelation ◽

And Performance

The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band.

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