scholarly journals Árboles de decisión para la evaluación del riesgo biológico de procesos biofarmacéuticos. //Decision trees for the biological risk assessment in biopharmaceutical processes.

Ciencia Unemi ◽  
2018 ◽  
Vol 11 (28) ◽  
pp. 8-17
Author(s):  
Pavel Novoa-Hernández ◽  
Dailín Cobos-Valdes ◽  
Eduardo Samaniego-Mena ◽  
Milvio Novoa-Pérez
Keyword(s):  
Risk Assessment ◽  
Decision Trees ◽  
Supervised Classification ◽  
Assessment Process ◽  
Classification Models ◽  
Classification Problems ◽  
Biological Risk ◽  
New Model ◽  
Pharmaceutical Processes

En el presente trabajo se propone un nuevo modelo para la evaluación del riesgo biológico en procesos biofarmacéuticos. La propuesta extiende un modelo existente, aportando como principal novedad el tratamiento de las determinaciones de los niveles de consecuencia y probabilidad de riesgo, como problemas de clasificación supervisada. Específicamente, se obtuvieron modelos de clasificación basados en árboles de decisión que poseen como ventajas más importantes: 1) un número menor de indicadores para la determinación de consecuencias y probabilidades, 2) un orden de medición de los indicadores, basado en la importancia de los mismos. Con el objetivo de analizar las bondades del nuevo modelo, se consideraron tres casos de estudio relacionados con procesos farmacéuticos reales. En comparación con el modelo anterior, el nuevo ofrece resultados similares, pero facilitando notablemente el proceso de evaluación del riesgo biológico. AbstractA new model for assessing biological risk in biopharmaceutical process is proposed in the present work. This proposal extends an existing model including the handling of the consequence and probability levels computations as main novelty, and also as supervised classification problems. Specifically, two classification models based on decision trees were obtained, which gives as major advantages: 1) a lower number of indicators for the determination of consequence and probabilities, and 2) an order of measurement of the related indicators. In order to analyze the benefits of the new model, three real pharmaceutical processes were considered as cases studies. In comparison with the previous model, the new one offers similar results, but significantly facilitating the biological risk assessment process.

scholarly journals Biosafety Level at the Microbiology Laboratory of PT SCI

2021 ◽  
Vol 5 (2) ◽  
pp. 522-535
Author(s):  
Aulia Jauhari Rakhman ◽  
Sjahrul Meizar Nasri
Keyword(s):  
Risk Assessment ◽  
Data Collection ◽  
Primary Data ◽  
Competency Assessment ◽  
Microbiology Laboratory ◽  
Preventive Action ◽  
Laboratory Personnel ◽  
Biological Risk ◽  
Biosafety Level

Introduction: Protection of personnel in microbiological testing laboratories should be conducted. One of the efforts that can be used for preventive action is the determination of the biosafety level. This study was conducted with the aim of knowing how important the biosafety level is seen from the readiness level of laboratory personnel regarding knowledge, training, and competency assessment of laboratory personnel. Moreover, this study was also based on the application of biological risk assessment and the planned biosafety implementation program. Method: The sampling method used was secondary data with document review and data recording from the implementation of activities in the microbiology laboratory. Meanwhile, the primary data collection was done through in-depth interviews with respondents using questionnaires and direct interviews. Result: The results of data collection and data processing showed that 74% of laboratory personnel had the appropriate competence in carrying out the assessment by determining the biosafety level. This was supported by the biosafety program which might be planned and implemented with laboratory readiness. This had a percentage of 73% in terms of biological risk assessment and laboratory facilities. Conclusion: Determination of biosafety level is important for personnel who is working in dangerous facilities which is exposed to microbiological agents such as bacteria, viruses, fungi, and other microbiological products. This is because, determining the biosafety level not only protects laboratory personnel, but also the environment from biological hazards.

scholarly journals Risk Assessment of Civil Aircraft during Operation

2020 ◽  
Author(s):  
Longbiao Li
Keyword(s):  
Risk Assessment ◽  
Failure Modes ◽  
System Structure ◽  
Assessment Process ◽  
Risk Level ◽  
Failure Risk ◽  
System Risk ◽  
Hazard Level ◽  
Aircraft System

In this chapter, the risk assessment methods for aircraft system, structure, and aeroengine are investigated. For the aircraft system risk assessment, the probability level is divided into probable, improbable, and extremely improbable, and the hazard level of the failure condition is divided into minor, major, and catastrophic. Using Weibull analysis and Bayesian method to analyze the aircraft operation data, the risk level of aircraft system can be determined by combing methods provided in AC 25.1309-1A. For the aircraft structure risk assessment, the probability fracture mechanics approach can be used to determine the structure failure risk based on the data of material properties, environment, inspection, and so on. For the aeroengine risk assessment, the methods for classification of failure risk level, determination of hazard ratio, and calculation of the risk factor and risk per flight are given. The risk assessment process for aeroengine multi-failure modes based on the Monte Carlo simulation is presented to predict the occurrence of the failure and assess the failure risk.

scholarly journals A Label Noise Robust Stacked Auto-Encoder Algorithm for Inaccurate Supervised Classification Problems

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Zi-yang Wang ◽  
Xiao-yi Luo ◽  
Jun Liang
Keyword(s):  
Supervised Classification ◽  
Cross Validation ◽  
Training Dataset ◽  
Classification Models ◽  
Classification Problems ◽  
Noise Sources ◽  
Label Noise ◽  
Noise Robust ◽  
Fold Cross Validation ◽  
New Framework

In real applications, label noise and feature noise are two main noise sources. Similar to feature noise, label noise imposes great detriment on training classification models. Motivated by successful application of deep learning method in normal classification problems, this paper proposes a new framework called LNC-SDAE to handle those datasets corrupted with label noise, or so-called inaccurate supervision problems. The LNC-SDAE framework contains a preliminary label noise cleansing part and a stacked denoising auto-encoder. In preliminary label noise cleansing part, the K-fold cross-validation thought is applied for detecting and relabeling those mislabeled samples. After being preprocessed by label noise cleansing part, the cleansed training dataset is then input into the stacked denoising auto-encoder to learn robust representation for classification. A corrupted UCI standard dataset and a corrupted real industrial dataset are used for test, both of which contain a certain proportion of label noise (the ratio changes from 0% to 30%). The experiment results prove the effectiveness of LNC-SDAE, the representation learnt by which is shown robust.

Methods of risk assessment in forecasting the consequences of accidents at pipeline transport facilities

2020 ◽  
Vol 10 (6) ◽  
pp. 663-673
Author(s):  
Vladislav N. Slepnev ◽  
◽  
Alexander F. Maksimenko ◽  
Elena V. Glebova ◽  
Alla Т. Volokhina ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Assessment Procedure ◽  
Expert Evaluation ◽  
Main Pipeline ◽  
Pipeline Transport ◽  
Forecasting Accuracy ◽  
Distribution Of Resources ◽  
Expert Evaluation Method

The choice of risk assessment procedure is one of the essential stages of efficient structuring of processes on prevention, localization and elimination of the consequences of accidents at main pipeline transport facilities. The authors analyzed themed publications and regulatory documents, governing procedures of risk assessment and forecasting of the consequences of possible accidents, and defined main problems in this area. Procedure for the risk assessment of accidents at main pipeline facilities was developed, the basis of which is the expert evaluation method. The procedure includes the determination of the main criteria for the assessment the probability of accident initiation and development and the evaluation of the severity of its consequences, an expert evaluation of criteria significance, their classification, and creation of a rating for hazardous pipeline sections. The application of the procedure application allows to specify the list of facilities that require high priority forecasting of accidents consequences, thus to optimize the distribution of resources and the overall increase of efficiency in planning while defining forces and special technical devices, necessary for containment and rectification of emergencies. Expert evaluation method application allows considering the specifics of certain enterprises, their technical and technological peculiarities, thereby increasing forecasting accuracy.

Effectiveness of Supervised Classification Models for Hate Speech on Twitter

2020 ◽  
Author(s):  
Kunal Srivastava ◽  
Ryan Tabrizi ◽  
Ayaan Rahim ◽  
Lauryn Nakamitsu
Keyword(s):  
Supervised Classification ◽  
Hate Speech ◽  
The Internet ◽  
Classification Models ◽  
Personal Attack ◽  
Political Beliefs ◽  
The Many ◽  
Primary Medium ◽  
Offensive Speech

<div> <div> <div> <p>Abstract </p> <p>The ceaseless connectivity imposed by the internet has made many vulnerable to offensive comments, be it their physical appearance, political beliefs, or religion. Some define hate speech as any kind of personal attack on one’s identity or beliefs. Of the many sites that grant the ability to spread such offensive speech, Twitter has arguably become the primary medium for individuals and groups to spread these hurtful comments. Such comments typically fail to be detected by Twitter’s anti-hate system and can linger online for hours before finally being taken down. Through sentiment analysis, this algorithm is able to distinguish hate speech effectively through the classification of sentiment. </p> </div> </div> </div>

scholarly journals Biological risk assessment: A challenge for occupational health and safety practitioners during the COVID-19 (SARS-CoV-2) Pandemic

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Carlos Carvalhais ◽  
Micaela Querido ◽  
Cristiana C. Pereira ◽  
Joana Santos
Keyword(s):  
Risk Assessment ◽  
Occupational Safety ◽  
Assessment Method ◽  
Occupational Safety And Health ◽  
Risk Level ◽  
Biological Risk ◽  
Occupational Risks ◽  
Qualitative Risk Assessment ◽  
Safety And Health ◽  
Medium Risk

BACKGROUND: The COVID-19 global pandemic brought several challenges to occupational safety and health practice. One of these is the need to (re)assess the occupational risks, particularly, biological risks. OBJECTIVE: The purpose of this work is to promote guidance to occupational safety and health practitioners when conducting a biological risk assessment in this context. METHODS: The main steps of the biological risk assessment are explained with some inputs regarding the novelty posed by SARS-CoV-2 and an example of a qualitative risk assessment method is presented. Also, its application to two different activities was exemplified. RESULTS: In both cases, the assessment considered that vulnerable workers were working from home or in medical leave. The results showed low or medium risk level for the assessed tasks. For medium risk level, additional controls are advised, such maintain social distancing, sanitize instruments/equipment before use, use proper and well-maintained PPE (when applicable), and promote awareness sessions to spread good practices at work. Employers must be aware of their obligations regarding biological risk assessment and OSH practitioners must be prepared to screen and link the abundance of scientific evidence generated following the outbreak, with the technical practice. CONCLUSIONS: This paper could be an important contribution to OSH practice since it highlights the need to (re)assess occupational risks, especially biological risk, to ensure a safe return to work, providing technical guidance.

scholarly journals A Methodology for Harmonizing Safety and Health Scales in Occupational Risk Assessment

2021 ◽  
Vol 18 (9) ◽  
pp. 4849
Author(s):  
Zuzhen Ji ◽  
Dirk Pons ◽  
John Pearse
Keyword(s):  
Risk Assessment ◽  
Health And Safety ◽  
Assessment Method ◽  
Assessment Process ◽  
Successful Implementation ◽  
Health Issues ◽  
Public Health Perspective ◽  
Chronic Health ◽  
Risk Assessment Method

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.

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