Applicability of microbial toxicity assays to assessment problems

1983 ◽  
Vol 2 (2) ◽  
pp. 185-193 ◽  
Author(s):  
James W. Gillett ◽  
Martin D. Knittel ◽  
Eva Jolma ◽  
Roger Coulombe
Keyword(s):  
Microbial Toxicity ◽  
Assessment Problems

On the Job Training (OJT) Assessment for Diploma in Construction Technology

2020 ◽  
Vol 17 (2) ◽  
pp. 29
Author(s):  
Nurhafizah Abdul Musid ◽  
Haryanti Mohd Affandi ◽  
Nurul Eizzaty Sohimi ◽  
Mohd Firdaus Mustaffa Kamal
Keyword(s):  
Attitude Change ◽  
Job Training ◽  
Change Implementation ◽  
Construction Technology ◽  
Validity And Reliability ◽  
Structured Interviews ◽  
Vocational College ◽  
Technology Students ◽  
Assessment Problems ◽  
Assessment Rubric

On Job Training (OJT) is best for skill development and attitude change. Implementation of OJT which focuses on the transition of students to working life, however with little attention given to the process of assessment in OJT. Therefore, the aim of this study is to investigate the OJT assessment problems among Construction Technology students in Malaysian Vocational College. The research design for this study uses a survey that was carried out qualitatively through semi-structured interviews among Construction Technology students, lecturers and experienced construction practitioners. From the data analysis, it has been identified that there is an inadequacy of OJT assessment rubric in assessing the skill and knowledge of the construction technology students. This has been contributed with the used of holistic rubric for the OJT assessment which has been designed to be use by every course in the Vocational College. The result also revealed that allocation of marks in the assessment rubric is not commensurate with some construct assessed and need to be reviewed. This study shows that an assessment rubric should emphasizes on specific knowledge and skills in assessing students’ competency during training program and in this case to produce competent site supervisor. In addition, a good assessment rubric should consider the tasks and marks thoroughly to avoid biasness among students. Therefore, it is suggested to carry out further study in investigating the validity and reliability of current industry’ OJT assessment rubric for the Construction Technology students.Key Words: On Job Training; Construction Technology; An assessment rubric; Competency; Validity and reliability.

scholarly journals Generalized Read-Across prediction using genra-py

2021 ◽  
Author(s):  
Imran Shah ◽  
Tia Tate ◽  
Grace Patlewicz
Keyword(s):  
Risk Assessment ◽  
Human Health Risk ◽  
Chemical Properties ◽  
Predictive Performance ◽  
Hazard Identification ◽  
Data Driven ◽  
Chemical Safety ◽  
Physico Chemical ◽  
Data Driven Approach ◽  
Assessment Problems

Abstract Motivation Generalized Read-Across (GenRA) is a data-driven approach to estimate physico-chemical, biological or eco-toxicological properties of chemicals by inference from analogues. GenRA attempts to mimic a human expert’s manual read-across reasoning for filling data gaps about new chemicals from known chemicals with an interpretable and automated approach based on nearest-neighbors. A key objective of GenRA is to systematically explore different choices of input data selection and neighborhood definition to objectively evaluate predictive performance of automated read-across estimates of chemical properties. Results We have implemented genra-py as a python package that can be freely used for chemical safety analysis and risk assessment applications. Automated read-across prediction in genra-py conforms to the scikit-learn machine learning library's estimator design pattern, making it easy to use and integrate in computational pipelines. We demonstrate the data-driven application of genra-py to address two key human health risk assessment problems namely: hazard identification and point of departure estimation. Availability and implementation The package is available from github.com/i-shah/genra-py.

Modeling Publication Terminology Maps on Quality Assessment Problems of Printed Circuit Boards

2021 ◽  
Author(s):  
Marina S. Chvanova ◽  
Fedor V. Vasilyev ◽  
Vladimir V. Isaev ◽  
Vladislav Yu. Baranov
Keyword(s):  
Quality Assessment ◽  
Printed Circuit Boards ◽  
Circuit Boards ◽  
Printed Circuit ◽  
Assessment Problems

Stability and microbial toxicity of HfO2 and ZrO2 nanoparticles for photolithography

2019 ◽  
Vol 7 (3) ◽  
pp. 109-117
Author(s):  
Jorge Gonzalez-Estrella ◽  
Jim A Field ◽  
Christopher K Ober ◽  
Reyes Sierra-Alvarez
Keyword(s):  
Zro2 Nanoparticles ◽  
Microbial Toxicity

scholarly journals An Approach to Risk Assessment and Threat Prediction for Complex Object Security Based on a Predicative Self-Configuring Neural System

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 102
Author(s):  
Nikolai Vladimirovich Korneev ◽  
Julia Vasilievna Korneeva ◽  
Stasis Petrasovich Yurkevichyus ◽  
Gennady Ivanovich Bakhturin
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Fundamental Problem ◽  
Experimental Studies ◽  
Neural System ◽  
Assessment System ◽  
Classification Model ◽  
Complex Object ◽  
Assessment Problems ◽  
First Time

We identified a set of methods for solving risk assessment problems by forecasting an incident of complex object security based on incident monitoring. The solving problem approach includes the following steps: building and training a classification model using the C4.5 algorithm, a decision tree creation, risk assessment system development, and incident prediction. The last system is a predicative self-configuring neural system that includes a SCNN (self-configuring neural network), an RNN (recurrent neural network), and a predicative model that allows for determining the risk and forecasting the probability of an incident for an object. We proposed and developed: a mathematical model of a neural system; a SCNN architecture, where, for the first time, the fundamental problem of teaching a perceptron SCNN was solved without a teacher by adapting thresholds of activation functions of RNN neurons and a special learning algorithm; and a predicative model that includes a fuzzy output system with a membership function of current incidents of the considered object, which belongs to three fuzzy sets, namely “low risk”, “medium risk”, and “high risk”. For the first time, we gave the definition of the base class of an object’s prediction and SCNN, and the fundamental problem of teaching a perceptron SCNN was solved without a teacher. We propose an approach to neural system implementation for multiple incidents of complex object security. The results of experimental studies of the forecasting error at the level of 2.41% were obtained.

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