Water Discharges at Sea: Collecting Realistic Laboratory Data on Fish Behaviour to Support Risk Assessment and Monitoring

Author(s):  
A. Goulois ◽  
Th. Baussan ◽  
L. Camus ◽  
C. Labes-Carrier ◽  
B. Gaudebert
2020 ◽  
Vol 54 ◽  
pp. 239-263
Author(s):  
Barbara Stańdo-Kawecka

During the work on the draft of the 1997 Code of the Execution of Penalties (CEP) much attention was paid to the principle of the treatment of sentenced persons, and particu-larly those serving prison sentences, as subjects. In the Polish penological literature two dimensions of that principle were indicated. The first one referred to the strengthening of the sentenced person’s position in relation to enforcement authorities by means of precise regulations concerning his/her legal status and effective mechanisms for the protection of his/her rights. The second dimension meant the abandonment of forced rehabilitation and providing sentenced persons with the ability to decide freely whether they wanted to partici-pate in correctional interventions. Undoubtedly, the 1997 CEP strengthened the legal status of a sentenced person. As regards the abandonment of forced rehabilitation, the legislator chose a compromise solution according to which the participation in correctional interven-tions was, as a rule, voluntary, but in some cases it was mandatory. Like in other countries, in Poland in the last decade the idea of the public protection against crime played an in-creasingly important role in the criminal policy. In the criminal justice system focused on risk management, the treatment of sentenced persons as subjects requires providing them with reliable information on the possible consequences of their decisions concerning the participation in offered correctional activities. Additionally, it requires providing them with adequate access to empirically proven correctional programmes as well as introducing a transparent system of risk assessment and monitoring during the execution of the imposed penalty or penal measure.


2020 ◽  
Vol 12 (18) ◽  
pp. 7569
Author(s):  
Guoquan Zhang ◽  
Guohao Li ◽  
Jing Peng

The sustainability and profitability of fresh produce supply chains are contingent upon several risk factors. This work, therefore, examines several risk indicators that affect the quality and safety of fresh produce in transit, including technological, biological, sustainability, environmental, and emergency risks. Then, we developed a risk assessment and monitoring model that employs a machine learning algorithm, a support vector machine, based on historical monitoring data. The proposed methodology was then applied to simulation and numerical analysis to assess the risks incurred in the strawberry cold chain. After training, the algorithm predicted the risks incurred during transportation with an average accuracy of 90.4%. Therefore, the developed methodology can effectively and accurately perform a risk assessment. Furthermore, the risk assessment model can be applied to other fresh produce due to comprehensive risk indicators. Decision-makers in fresh produce logistics companies can use the developed methodology to identify and mitigate risks incurred, thus improving food safety, reducing product loss, maximizing profits, and realizing sustainable development.


2020 ◽  
Vol 17 (2) ◽  
pp. 379-401
Author(s):  
Dunja Vrbaski ◽  
Aleksandar Kupusinac ◽  
Rade Doroslovacki ◽  
Edita Stokic ◽  
Dragan Ivetic

A common problem when working with medical records is that some measurements are missing. The simplest and the most common solution, especially in machine learning domain, is to exclude records with incomplete data. This approach produces datasets with reduced statistical power and can even lead to biased or erroneous final results. There are, however, many proposed imputing methods for missing data. Although some of them, such as multiple imputation, are mature and well researched, they can be prone to misuse and are not always suitable for building complex frameworks. This paper explores neural networks as a potential tool for imputing univariate missing laboratory data during cardiometabolic risk assessment, comparing it to other simple methods that could be easily set up and used further in building predictive models. We have found that neural networks outperform other algorithms for diverse fraction of missing data and different mechanisms causing their missingness.


2020 ◽  
Vol 8 (1) ◽  
pp. 21-33
Author(s):  
Andriyan Andriyan ◽  
Ridwan Saleh

PT. Transjakarta is a transportation company that uses an electronic ticket system. The ticket system at the Transjakarta bus stop since 2013 uses an electronic card (e-ticketing), instead of cash. One of these cards is the Flazz card issued by Bank BCA. However, the cash deposit from the sale of the flazz top up from Transjakarta to Bank Bca still experiences constraints, there is a difference every day. Then the need for internal control in the payment process and reconciliation between Bank Bca billing data and top up cash payments in the Transjakarta. So far the two reports that should have been balanced, in fact never happened. That is why reconciliation is needed and the causes of the differences are sought so that a balanced report can be produced. This study aims to determine the implementation of internal control on the concept of components according to COSO. The author uses descriptive methods with the type of qualitative analysis, by reviewing the application of elements of internal control by describing the facts that exist in the field, and analyzing the application of these elements with reference to COSO. The results show that in general the internal controls applied for top up flazz payments have met and are in accordance with the concepts and principles of internal control according to COSO. However, the implementation of the concept of internal control components needs to be refined to be more effective, namely the environmental control, risk assessment and monitoring components.


Author(s):  
Audrey A. Opoku-Acheampong ◽  
Richard R. Rosenkranz ◽  
Koushik Adhikari ◽  
Nancy Muturi ◽  
Cindy Logan ◽  
...  

Cardiovascular disease (CVD, i.e., disease of the heart and blood vessels) is a major cause of death globally. Current assessment tools use either clinical or non-clinical factors alone or in combination to assess CVD risk. The aim of this review was to critically appraise, compare, and summarize existing non-clinically based tools for assessing CVD risk factors in underserved young adult (18–34-year-old) populations. Two online electronic databases—PubMed and Scopus—were searched to identify existing risk assessment tools, using a combination of CVD-related keywords. The search was limited to articles available in English only and published between January 2008 and January 2019. Of the 10,383 studies initially identified, 67 were eligible. In total, 5 out of the 67 articles assessed CVD risk in underserved young adult populations. A total of 21 distinct CVD risk assessment tools were identified; six of these did not require clinical or laboratory data in their estimation (i.e., non-clinical). The main non-clinically based tools identified were the Heart Disease Fact Questionnaire, the Health Beliefs Related to CVD-Perception measure, the Healthy Eating Opinion Survey, the Perception of Risk of Heart Disease Scale, and the WHO STEPwise approach to chronic disease factor surveillance (i.e., the STEPS instrument).


Sign in / Sign up

Export Citation Format

Share Document