scholarly journals Modelling Exposure by Spraying Activities—Status and Future Needs

2021 ◽  
Vol 18 (15) ◽  
pp. 7737
Author(s):  
Stefan Hahn ◽  
Jessica Meyer ◽  
Michael Roitzsch ◽  
Christiaan Delmaar ◽  
Wolfgang Koch ◽  
...  
Keyword(s):  
Current Knowledge ◽  
Model Performance ◽  
Relevant Information ◽  
Systematic Evaluation ◽  
Model Accuracy ◽  
Efficient Manner ◽  
User Perspective ◽  
Model Predictions ◽  
Spray Applications

Spray applications enable a uniform distribution of substances on surfaces in a highly efficient manner, and thus can be found at workplaces as well as in consumer environments. A systematic literature review on modelling exposure by spraying activities has been conducted and status and further needs have been discussed with experts at a symposium. This review summarizes the current knowledge about models and their level of conservatism and accuracy. We found that extraction of relevant information on model performance for spraying from published studies and interpretation of model accuracy proved to be challenging, as the studies often accounted for only a small part of potential spray applications. To achieve a better quality of exposure estimates in the future, more systematic evaluation of models is beneficial, taking into account a representative variety of spray equipment and application patterns. Model predictions could be improved by more accurate consideration of variation in spray equipment. Inter-model harmonization with regard to spray input parameters and appropriate grouping of spray exposure situations is recommended. From a user perspective, a platform or database with information on different spraying equipment and techniques and agreed standard parameters for specific spraying scenarios from different regulations may be useful.

scholarly journals OTHR-15. Assessment of TRIPOD adherence in articles developing machine learning models for differentiation of glioma from brain metastasis

2021 ◽  
Vol 3 (Supplement_3) ◽  
pp. iii17-iii18
Author(s):  
Leon Jekel ◽  
Waverly Rose Brim ◽  
Gabriel Cassinelli Petersen ◽  
Harry Subramanian ◽  
Tal Zeevi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Brain Metastasis ◽  
Model Performance ◽  
Scoring Systems ◽  
Systematic Evaluation ◽  
Clinical Workflow ◽  
Quality Of Reporting ◽  
Systematic Assessment ◽  
Adherence Score

Abstract Purpose Machine learning (ML) applications in predictive models in neuro-oncology have become an increasingly investigated subject of research. For their incorporation into clinical practice, rigorous assessment is needed to reduce bias. Several reports have indicated utility of ML applications in differentiation of glioma from brain metastasis. However, a systematic assessment of quality of methodology and reporting in these studies has not been done yet. We examined the adherence of 29 published reports in this field to the TRIPOD statement, which is similar to CLAIM checklist. Materials and Methods Our systematic review was conducted in accordance with PRISMA guidelines. Ovid Embase, Ovid MEDLINE, Cochrane trials (CENTRAL) and Web of science core-collection were searched. Keywords included artificial intelligence, machine learning, deep learning, radiomics, magnetic resonance imaging, glioma, and glioblastoma. Assessment of TRIPOD adherence in 29 eligible studies was performed. Individual item performance was assessed by adherence index (ADI), the ratio of mean achieved score to maximum score per TRIPOD item. Results In a preliminary analysis of 8 studies, the average TRIPOD adherence score was 0.48 (14.25/30 items fulfilled) with individual scores ranging from 0.27 (8/30) to 0.60 (18/30). Best overall item performance, with an ADI of 1, was seen in item 3 (Background/Objectives), 16 (Model performance) and 19 (Interpretation). Poorest performance was detected in item 1 (Title) and 2 (Abstract), followed by item 9 (Missing Data) with ADI of 0, 0 and 0.13, respectively. Conclusion Preliminary results underline the lack of reproducibility in ML studies on distinction between glioma and brain metastasis. An average TRIPOD adherence score of 0.48 indicates insufficient quality of reporting and outlines the need for increased utilization of quality scoring systems in study documentation. Systematic evaluation of quality score adherence will allow us to identify common flaws in this field for enabling translation of models into clinical workflow.

scholarly journals QUALITY ASSURANCE IN OCCUPATIONAL MEDICINE

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
MARJAN BILBAN
Keyword(s):  
Quality Assurance ◽  
Occupational Medicine ◽  
Current Knowledge ◽  
Well Being ◽  
World Health ◽  
Efficient Manner ◽  
Quality Healthcare ◽  
Assurance System ◽  
The Right

Abstract:According to World Health Organization's definition, quality healthcare is one meeting agreed-upon criteria, using all current knowledge and available funds to meet expectations regarding improving the well-being of a patient and reducing health risks they are exposed to. Quality healthcare uses effective healthcare procedures, treats the right people and does so in an efficient manner, of course considering the circumstances. Due to specifics that arise in the field, occupational medicine is one of the fields where appropriate implementation of a quality assurance system could greatly improve the quality of work. Medical errors should be accepted as everyday companions of our work and as a source of valuable experience, which will help us ensure greater safety for our patients as well as ourselves. Discovery and elimination of deviations should thus become primarily a means of quality improvement as we try to establish our priorities. Key words:quality,occupational medicine, supervision

scholarly journals Predicting Potential Natural Vegetation in an Interior Northwest Landscape Using Classification Tree Modeling and a GIS

2005 ◽  
Vol 20 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Alison Kelly ◽  
David C. Powell ◽  
Robert A. Riggs
Keyword(s):  
Predictive Models ◽  
Classification Tree ◽  
Model Performance ◽  
Study Data ◽  
Plant Association ◽  
Model Accuracy ◽  
Management Objectives ◽  
Plant Associations ◽  
Tree Modeling ◽  
Model Predictions

Abstract Integration of a GIS with statistical predictive models facilitates mapping the likely spatial distribution of plant associations and modification of maps as new data or vegetation-environment relationships are discovered. In this study, data for classified plant communities were used to develop a georeferenced database representing 39 plant associations and environmental variables at 1,249 plot locations. This database was used to develop models predicting the occurrence of plant associations. These predictive models were implemented in a GIS to render maps of predictable plant associations, plant association groups, and overstory series. Overall model accuracy ranged from 30% for the model predicting plant association to 63% for the model predicting series. However, several associations, groups, and even series could not be predicted, and model performance for those that were predictable often differed from overall model accuracy. Association-level accuracy of model predictions ranged from 18 to 84% while series-level accuracy ranged from 41 to 85%. Model selection for management applications should be based on specific management objectives. Expansion of the regional sample of reference plots and database augmentations, including documentation of disturbance histories, should provide useful enhancements for future modeling efforts. West. J. Appl. For. 20(2):117–127.

Investigating the Ease-of-Retrieval Effect in an Eyewitness Context

2019 ◽  
Author(s):  
Roy Groncki ◽  
Jennifer L Beaudry ◽  
James D. Sauer
Keyword(s):  
Cognitive Processes ◽  
Task Difficulty ◽  
Memory Studies ◽  
Relevant Information ◽  
Perceived Quality ◽  
Expected Effect ◽  
Bayesian Testing ◽  
Finding Study ◽  
Identification Confidence

The way in which individuals think about their own cognitive processes plays an important role in various domains. When eyewitnesses assess their confidence in identification decisions, they could be influenced by how easily relevant information comes to mind. This ease-of-retrieval effect has a robust influence on people’s cognitions in a variety of contexts (e.g., attitudes), but it has not yet been applied to eyewitness decisions. In three studies, we explored whether the ease with which eyewitnesses recall certain memorial information influenced their identification confidence assessments and related testimony-relevant judgements (e.g., perceived quality of view). We manipulated the number of reasons participants gave to justify their identification (Study 1; N = 343), and also the number of instances they provided of a weak or strong memory (Studies 2a & 2b; Ns = 350 & 312, respectively). Across the three studies, ease-of-retrieval did not affect eyewitnesses’ confidence or other testimony-relevant judgements. We then tried—and failed—to replicate Schwarz et al.’s (1991) original ease-of-retrieval finding (Study 3; N = 661). In three of the four studies, ease-of-retrieval had the expected effect on participants’ perceived task difficulty; however, frequentist and Bayesian testing showed no evidence for an effect on confidence or assertiveness ratings.

Managing an Enterprise and Ethical Dilemmas in Accountancy

2014 ◽  
Vol 9 (2) ◽  
pp. 141-151
Author(s):  
Jolanta Wiśniewska
Keyword(s):  
High Risk ◽  
Ethical Dilemmas ◽  
Business Management ◽  
Relevant Information ◽  
Necessary Condition ◽  
Accounting System ◽  
Quality Of Information ◽  
Economic Entity ◽  
A Company

The purpose of this article is to present the correlation between management of an economic entity and the development of ethical accounting dilemmas in the era of high-risk business. In the globalisation era and recurring economic crises, realisation of the objectives of a company takes place under high risk conditions. It is therefore necessary to use a proper management system. The necessary condition for making all decisions is to have relevant information. The value and relevance of these decisions depend on the quality of information which they have been based on. Lack of ethics in accounting has a direct impact on the company's management, which is based on information generated by the accounting system of the company. Ethical dilemmas arising in accounting are also ethical dilemmas arising in the process of business management. 

Would you be more satisfied with your life if you travel more frequently?

2020 ◽  
Author(s):  
Chun-Chu Chen ◽  
Sui-Wen (Sharon) Zou ◽  
James F. Petrick
Keyword(s):  
Quality Of Life ◽  
Relevant Information ◽  
Life Domain ◽  
Travel And Tourism ◽  
Study Results ◽  
Personal Importance

This research intends to examine whether frequent travelers are more satisfied with their life as well as why these individuals travel more frequently than others. Derived from a sample of 500 Taiwanese respondents, the study results show that respondents attaching personal importance to tourism are more likely to gather travel-relevant information, resulting in more frequent travels. It is also found that frequent travelers are more satisfied with their life. These findings suggest that travel and tourism can be an important life domain affecting how people evaluate their overall quality of life.

Resveratrol: A new potential therapeutic agent for melanoma?

2019 ◽  
Vol 26 ◽  
Author(s):  
Mohamad Hossein Pourhanifeh ◽  
Kazem Abbaszadeh-Goudarzi ◽  
Mohammad Goodarzi ◽  
Sara G.M. Piccirillo ◽  
Alimohammad Shafiee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Therapeutic Agent ◽  
Current Knowledge ◽  
Treatment Resistance ◽  
Anti Cancer ◽  
Apoptosis Inducer ◽  
Life Threatening ◽  
First Time

: Melanoma is the most life-threatening and aggressive class of skin malignancies. The incidence of melanoma has steadily increased. Metastatic melanoma is greatly resistant to standard anti-melanomatreatments such as chemotherapy, and 5-year survival rate of cases with melanoma who have metastatic form of disease is less than 10%. The contributing role of apoptosis, angiogenesis and autophagy in the pathophysiology of melanoma has been previously demonstrated. Thus, it is extremely urgent to search for complementary therapeutic approachesthat couldenhance the quality of life of subjects and reduce treatment resistance and adverse effects. Resveratrol, known as a polyphenol component present in grapes and some plants, has anti-cancer properties due to its function as an apoptosis inducer in tumor cells, and anti-angiogenic agent to prevent metastasis. However, more clinical trials should be conducted to prove resveratrol efficacy. : Herein, for first time, we summarize current knowledge of anti-cancerous activities of resveratrol in melanoma.

The transformation of the Russian notary in the new economic realities

2020 ◽  
Vol 22 (1) ◽  
pp. 92-97
Author(s):  
KONSTANTIN A. KORSIK ◽  
◽  
ANASTASIYA A. PARFENCHIKOVA ◽  
Keyword(s):  
Public Administration ◽  
Relevant Information ◽  
The State ◽  
Technological Infrastructure ◽  
Social Sphere ◽  
The Social ◽  
Modern Economic ◽  
World Development

The article is devoted to the review of current changes in the legislation on notaries related to the development of electronic civil circulation, analysis of existing digital risks and assessment of the role of notaries in combating them. In modern economic realities, a significant expansion of the sphere of competence of the notary is carried out by introducing completely new notarial actions into the scope of the notary’s terms of reference. At the same time, the notary does not just follow the general ‘digital’ trend, but independently makes significant efforts to effectively perform the tasks of the social sphere regulator assigned to it by the state. The creation of the Unified Notary Information System as part of the formation of the technological infrastructure to ensure the security and stability of legal relations in the context of electronic civil circulation takes to a new level the quality of notarial services and the security of legally relevant information. The role of notaries significantly increases in conditions when the use of digital technologies in the economy, public administration, social sphere becomes one of the main vectors of world development, and society and the state inevitably face the flip side of this process – digital risks that jeopardize the safety of participants in civil turnover and their property. In 2020, as part of the implementation of the national program ‘Digital Economy’, it is planned to introduce a number of innovations that will create the basis for a stable and secure ‘digital’ turnover.

scholarly journals Epilepsy in Down Syndrome: A Highly Prevalent Comorbidity

2021 ◽  
Vol 10 (13) ◽  
pp. 2776
Author(s):  
Miren Altuna ◽  
Sandra Giménez ◽  
Juan Fortea
Keyword(s):  
Down Syndrome ◽  
Functional Outcomes ◽  
Clinical Presentation ◽  
Late Onset ◽  
Current Knowledge ◽  
Epileptic Seizures ◽  
Myoclonic Epilepsy ◽  
Increased Risk ◽  
Number Of Individuals

Individuals with Down syndrome (DS) have an increased risk for epilepsy during the whole lifespan, but especially after age 40 years. The increase in the number of individuals with DS living into late middle age due to improved health care is resulting in an increase in epilepsy prevalence in this population. However, these epileptic seizures are probably underdiagnosed and inadequately treated. This late onset epilepsy is linked to the development of symptomatic Alzheimer’s disease (AD), which is the main comorbidity in adults with DS with a cumulative incidence of more than 90% of adults by the seventh decade. More than 50% of patients with DS and AD dementia will most likely develop epilepsy, which in this context has a specific clinical presentation in the form of generalized myoclonic epilepsy. This epilepsy, named late onset myoclonic epilepsy (LOMEDS) affects the quality of life, might be associated with worse cognitive and functional outcomes in patients with AD dementia and has an impact on mortality. This review aims to summarize the current knowledge about the clinical and electrophysiological characteristics, diagnosis and treatment of epileptic seizures in the DS population, with a special emphasis on LOMEDS. Raised awareness and a better understanding of epilepsy in DS from families, caregivers and clinicians could enable earlier diagnoses and better treatments for individuals with DS.

scholarly journals Nodule Detection with Convolutional Neural Network Using Apache Spark and GPU Frameworks

2021 ◽  
Vol 11 (6) ◽  
pp. 2838
Author(s):  
Nikitha Johnsirani Venkatesan ◽  
Dong Ryeol Shin ◽  
Choon Sung Nam
Keyword(s):  
Neural Network ◽  
Radiation Dose ◽  
Convolutional Neural Network ◽  
Model Performance ◽  
Performance Comparison ◽  
Apache Spark ◽  
Training Time ◽  
Learning Framework ◽  
Proposed Model

In the pharmaceutical field, early detection of lung nodules is indispensable for increasing patient survival. We can enhance the quality of the medical images by intensifying the radiation dose. High radiation dose provokes cancer, which forces experts to use limited radiation. Using abrupt radiation generates noise in CT scans. We propose an optimal Convolutional Neural Network model in which Gaussian noise is removed for better classification and increased training accuracy. Experimental demonstration on the LUNA16 dataset of size 160 GB shows that our proposed method exhibit superior results. Classification accuracy, specificity, sensitivity, Precision, Recall, F1 measurement, and area under the ROC curve (AUC) of the model performance are taken as evaluation metrics. We conducted a performance comparison of our proposed model on numerous platforms, like Apache Spark, GPU, and CPU, to depreciate the training time without compromising the accuracy percentage. Our results show that Apache Spark, integrated with a deep learning framework, is suitable for parallel training computation with high accuracy.

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