An Improved Features of Health Screening Test System for Malaysian Social Security Organisation (SOCSO) Programme

2017 ◽  
Vol 6 (2) ◽  
pp. 473
Author(s):  
A. R. Abdullah ◽  
A. R. Syafeeza ◽  
M. A. U. C. Mood ◽  
T. N. S. T. Zawawi ◽  
A. R. Munzier
Keyword(s):  
Social Security ◽  
Screening Test ◽  
Time Frame ◽  
Test System ◽  
Health Screening ◽  
Functional Capacity Evaluation ◽  
Physical Evaluation ◽  
Time Motion ◽  
Proposed Model ◽  
Positional Tolerance

The purpose of this paper is to improve the features of Health Screening Test System (HSTS) on Social Security Organization (SOCSO) program as physical evaluation for musculoskeletal disable workers (MSDs). SOCSO existing functional testing system are not suitable because of the evaluation was recorded manually peg board too high for Asian people. The occupational therapist whose involve in all the procedures is just doing the judgment in times to determine the capability of the patients. The functional capacity evaluation (FCE) technique is based on the functional range of motion evaluation that consist of positional tolerance respecting to time-motion testing on HSTS peg board and it is by referring to the original work movement. The main features of HSTS are able to measure speed, acceleration and evaluation of SOCSO’s patients for returning to work based on SOCSO’s requirement. In order to validate the accuracy of the proposed model, HSTS is used to evaluate the patient’s positional tolerance and then the result would be compare over the time frame which is Method Time Measurement (MTM) standard. This method is able to provide information and feedback for therapies as a status of patients. It is found that the proposed model is superior in getting the accurate time test for patient’s movements besides practicable and suitable for physical evaluation on MSD patients.

scholarly journals On the Dragging Trajectory of Anchors in Clay for Merchant Ships

2021 ◽  
Vol 9 (2) ◽  
pp. 118
Author(s):  
Xinqing Zhuang ◽  
Keliang Yan ◽  
Pan Gao ◽  
Yihua Liu
Keyword(s):  
Mathematical Model ◽  
Structural Integrity ◽  
Indirect Measurement ◽  
Test System ◽  
Flow Rule ◽  
Burial Depth ◽  
Proposed Model ◽  
Depth Increase ◽  
Two Parameters ◽  
The Mathematical Model

Anchor dragging is a major threat to the structural integrity of submarine pipelines. A mathematical model in which the mechanical model of chain and the bearing model of anchor were coupled together. Based on the associated flow rule, an incremental procedure was proposed to solve the spatial state of anchor until it reaches the ultimate embedding depth. With an indirect measurement method for the anchor trajectory, a model test system was established. The mathematical model was validated against some model tests, and the effects of two parameters were studied. It was found that both the ultimate embedding depth of a dragging anchor and the distance it takes to reach the ultimate depth increase with the shank-fluke pivot angle, but decrease as the undrained shear strength of clay increases. The proposed model is supposed to be useful for the embedding depth calculation and guiding the design of the pipeline burial depth.

A Least Cost Transmission Planning Model Considering Operation Cost

2014 ◽  
Vol 15 (2) ◽  
pp. 121-128
Author(s):  
Jorge Hans Alayo
Keyword(s):  
Test System ◽  
Mixed Integer ◽  
Transmission Planning ◽  
Integer Linear Programming Problem ◽  
Transmission Expansion ◽  
Planning Models ◽  
Proposed Model ◽  
Expansion Model ◽  
Operation Cost ◽  
Linearization Techniques

Abstract Existing transmission planning models consider basic aspects of the problem. In practice, a transmission utility needs to model other important details such as operation cost of the power system. In this article, a least cost transmission expansion model is proposed considering the operation cost in order to model the trade-off between building new transmission capacity and increasing the power system’s operation cost. The proposed model is transformed into a mixed integer linear programming problem using linearization techniques and solved with CPLEX. Finally, results of the model for the Garver test system and IEEE 24-bus test system are shown.

scholarly journals A New Indicator of Transient Stability for Controlled Islanding of Power Systems: Critical Islanding Time

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2975 ◽  
Author(s):  
Zhenzhi Lin ◽  
Yuxuan Zhao ◽  
Shengyuan Liu ◽  
Fushuan Wen ◽  
Yi Ding ◽  
...  
Keyword(s):  
New York ◽  
Power Systems ◽  
New England ◽  
Transient Stability ◽  
Time Frame ◽  
Test System ◽  
Crucial Importance ◽  
Interconnected System ◽  
Controlled Islanding ◽  
Simulation Results

Transient stability after islanding is of crucial importance because a controlled islanding strategy is not feasible if transient stability cannot be maintained in the islands created. A new indicator of transient stability for controlled islanding strategies, defined as the critical islanding time (CIT), is presented for slow coherency-based controlled islanding strategies to determine whether all the islands created are transiently stable. Then, the stable islanding interval (SII) is also defined to determine the appropriate time frame for stable islanding. Simulations were conducted on the New England test system–New York interconnected system to demonstrate the characteristics of the critical islanding time and stable islanding interval. Simulation results showed that the answer for when to island could be easily reflected by the proposed CIT and SII indicators. These two indicators are beneficial to power dispatchers to keep the power systems transiently stable and prevent widespread blackouts.

Validity of a novel computerized screening test system for mild cognitive impairment

2018 ◽  
Vol 30 (10) ◽  
pp. 1455-1463 ◽  
Author(s):  
Jin-Hyuck Park ◽  
Minye Jung ◽  
Jongbae Kim ◽  
Hae Yean Park ◽  
Jung-Ran Kim ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Elderly People ◽  
Predictive Value ◽  
Screening Test ◽  
Concurrent Validity ◽  
Test System ◽  
Screening Tests ◽  
Validity And Reliability ◽  
Healthy Elderly

ABSTRACTBackground:The mobile screening test system for screening mild cognitive impairment (mSTS-MCI) was developed for clinical use. However, the clinical usefulness of mSTS-MCI to detect elderly with MCI from those who are cognitively healthy has yet to be validated. Moreover, the comparability between this system and traditional screening tests for MCI has not been evaluated.Objective:The purpose of this study was to examine the validity and reliability of the mSTS-MCI and confirm the cut-off scores to detect MCI.Method:The data were collected from 107 healthy elderly people and 74 elderly people with MCI. Concurrent validity was examined using the Korean version of Montreal Cognitive Assessment (MoCA-K) as a gold standard test, and test–retest reliability was investigated using 30 of the study participants at four-week intervals. The sensitivity, specificity, positive predictive value, and negative predictive value (NPV) were confirmed through Receiver Operating Characteristic (ROC) analysis, and the cut-off scores for elderly people with MCI were identified.Results:Concurrent validity showed statistically significant correlations between the mSTS-MCI and MoCA-K and test–rests reliability indicated high correlation. As a result of screening predictability, the mSTS-MCI had a higher NPV than the MoCA-K.Conclusions:The mSTS-MCI was identified as a system with a high degree of validity and reliability. In addition, the mSTS-MCI showed high screening predictability, indicating it can be used in the clinical field as a screening test system for mild cognitive impairment.

Rapid Screening Test for the Evaluation of Quaternary Ammonium Compounds by Triphenyltetrazolium Chloride Reduction by Microorganisms

1970 ◽  
Vol 53 (6) ◽  
pp. 1224-1228
Author(s):  
Raymond J Sitkiewicz
Keyword(s):  
Quaternary Ammonium ◽  
Screening Test ◽  
Rapid Test ◽  
Test System ◽  
Quaternary Ammonium Compounds ◽  
Rapid Screening ◽  
Ammonium Compound ◽  
Triphenyltetrazolium Chloride ◽  
Rapid Screening Test ◽  
Ammonium Compounds

Abstract A rapid screening test has been developed to determine killing dilutions of quaternary ammonium compounds. Two factors, Letheen broth as a quaternary ammonium compound neutralizer and triphenyltetrazolium chloride as a microbial growth indicator, resulted in a rapid test system for the evaluation of quaternary ammonium compounds. This rapid test system takes from 4 to 8 hr to complete as opposed to the 24 to 48 hr for other tests. A new germicide can be bacteriologically screened in one day.

scholarly journals Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Imon Banerjee ◽  
Luis de Sisternes ◽  
Joelle A. Hallak ◽  
Theodore Leng ◽  
Aaron Osborne ◽  
...  
Keyword(s):  
Clinical Trial ◽  
High Performance ◽  
Cross Validation ◽  
Time Frame ◽  
Age Related Macular Degeneration ◽  
Imaging Biomarkers ◽  
Imaging Features ◽  
Short Term ◽  
Age Related ◽  
Proposed Model

Abstract We propose a hybrid sequential prediction model called “Deep Sequence”, integrating radiomics-engineered imaging features, demographic, and visual factors, with a recursive neural network (RNN) model in the same platform to predict the risk of exudation within a future time-frame in non-exudative AMD eyes. The proposed model provides scores associated with risk of exudation in the short term (within 3 months) and long term (within 21 months), handling challenges related to variability of OCT scan characteristics and the size of the training cohort. We used a retrospective clinical trial dataset that includes 671 AMD fellow eyes with 13,954 observations before any signs of exudation for training and validation in a tenfold cross validation setting. Deep Sequence achieved high performance for the prediction of exudation within 3 months (0.96 ± 0.02 AUCROC) and within 21 months (0.97 ± 0.02 AUCROC) on cross-validation. Training the proposed model on this clinical trial dataset and testing it on an external real-world clinical dataset showed high performance for the prediction within 3-months (0.82 AUCROC) but a clear decrease in performance for the prediction within 21-months (0.68 AUCROC). While performance differences at longer time intervals may be derived from dataset differences, we believe that the high performance and generalizability achieved in short-term predictions may have a high clinical impact allowing for optimal patient follow-up, adding the possibility of more frequent, detailed screening and tailored treatments for those patients with imminent risk of exudation.

In vitro antichlamydial activity of antimicrobials and quinolones using a rapid microtiter screening test system

1987 ◽  
Vol 6 (4) ◽  
pp. 247-251
Author(s):  
Marjorie E. Kmetz ◽  
William T. Slater ◽  
Jerome Schwartz
Keyword(s):  
Screening Test ◽  
Test System

scholarly journals Double Two-State Opsin Model With Autonomous Parameter Inference

2021 ◽  
Vol 15 ◽  
Author(s):  
Ruben Schoeters ◽  
Thomas Tarnaud ◽  
Luc Martens ◽  
Wout Joseph ◽  
Robrecht Raedt ◽  
...  
Keyword(s):  
Differential Equations ◽  
Markov Models ◽  
Neuronal Response ◽  
Computational Cost ◽  
Model Fitting ◽  
Time Frame ◽  
Great Accuracy ◽  
Computationally Efficient ◽  
Fitting Procedure ◽  
Proposed Model

Optogenetics has a lot of potential to become an effective neuromodulative therapy for clinical applications. Selecting the correct opsin is crucial to have an optimal optogenetic tool. With computational modeling, the neuronal response to the current dynamics of an opsin can be extensively and systematically tested. Unlike electrical stimulation where the effect is directly defined by the applied field, the stimulation in optogenetics is indirect, depending on the selected opsin's non-linear kinetics. With the continuous expansion of opsin possibilities, computational studies are difficult due to the need for an accurate model of the selected opsin first. To this end, we propose a double two-state opsin model as alternative to the conventional three and four state Markov models used for opsin modeling. Furthermore, we provide a fitting procedure, which allows for autonomous model fitting starting from a vast parameter space. With this procedure, we successfully fitted two distinctive opsins (ChR2(H134R) and MerMAID). Both models are able to represent the experimental data with great accuracy and were obtained within an acceptable time frame. This is due to the absence of differential equations in the fitting procedure, with an enormous reduction in computational cost as result. The performance of the proposed model with a fit to ChR2(H134R) was tested, by comparing the neural response in a regular spiking neuron to the response obtained with the non-instantaneous, four state Markov model (4SB), derived by Williams et al. (2013). Finally, a computational speed gain was observed with the proposed model in a regular spiking and sparse Pyramidal-Interneuron-Network-Gamma (sPING) network simulation with respect to the 4SB-model, due to the former having two differential equations less. Consequently, the proposed model allows for computationally efficient optogenetic neurostimulation and with the proposed fitting procedure will be valuable for further research in the field of optogenetics.

Sign in / Sign up

Export Citation Format

Share Document