scholarly journals The Residues and Risk Assessment of Sulfonamides in Animal Products

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Xiao-lei Zuo ◽  
Han Ai-yun
Keyword(s):  
Risk Assessment ◽  
Veterinary Drugs ◽  
Assessment Model ◽  
Poultry Meat ◽  
Risk Level ◽  
Detection Rates ◽  
Animal Products ◽  
Poultry Products ◽  
Livestock Products ◽  
Sulfonamide Residues

Objective. To investigate and assess the risk of sulfonamide residues in livestock and poultry products in Shijiazhuang and determine the risk level of the dietary intake of sulfonamides, in order to provide the basis for the safety production, consumption, and safety supervision of livestock products. Methods. Totally, 1200 samples of livestock products were collected, and the samples were detected by high-performance liquid chromatography-tandem mass spectrometry. Combined with the data of Chinese residents’ dietary survey in 2015, a nonparametric probability assessment model was constructed to assess the risk of sulfonamides in the livestock and poultry products of Shijiazhuang residents by using the professional risk assessment software @Risk. Risk assessment of the consumption of sulfonamide veterinary drugs in livestock and poultry products of Shijiazhuang residents was conducted. Results. Of the 1200 main livestock products tested, 8 were found to have sulfonamide residues, which were mainly sulfadiazine residue, sulfadiazine, and sulfadimethoxy, with the detection rates of 0.17%, 0.25%, and 0.25%, respectively. The average residual concentrations were 0.66, 0.50, and 0.50 g/kg, respectively, which were lower than the national residue limit of China (100 μg/kg). The food safety index was 2.95 × 10−4, which was far less than 1. Conclusion. The risk of residual exposure to sulfonamides in livestock and poultry meat in Shijiazhuang is very low and is at a very safe level. However, it is still necessary to strengthen the supervision of animal products in order to reduce the residues of veterinary drugs in the human body.

scholarly journals Pb Content, Risk Level and Primary-Source Apportionment in Wheat and Rice Grains in the Lihe River Watershed, Taihu Region, Eastern China

2021 ◽  
Vol 18 (12) ◽  
pp. 6256
Author(s):  
Lian Chen ◽  
Shenglu Zhou ◽  
Qiong Yang ◽  
Qingrong Li ◽  
Dongxu Xing ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Source Apportionment ◽  
Health Risk Assessment ◽  
Eastern China ◽  
Assessment Model ◽  
Primary Sources ◽  
Risk Level ◽  
River Watershed ◽  
Rice Grains

This study detailed a complete research from Lead (Pb) content level to ecological and health risk to direct- and primary-sources apportionment arising from wheat and rice grains, in the Lihe River Watershed of the Taihu region, East China. Ecological and health risk assessment were based on the pollution index and US Environmental Protection Agency (EPA) health risk assessment model. A three-stage quantitative analysis program based on Pb isotope analysis to determine the relative contributions of primary sources involving (1) direct-source apportionment in grains with a two-end-member model, (2) apportionment of soil and dustfall sources using the IsoSource model, and (3) the integration of results of (1) and (2) was notedly first proposed. The results indicated that mean contents of Pb in wheat and rice grains were 0.54 and 0.45 mg/kg and both the bio-concentration factors (BCF) were <<1; the ecological risk pollution indices were 1.35 for wheat grains and 1.11 for rice grains; hazard quotient (HQ) values for adult and child indicating health risks through ingestion of grains were all <1; Coal-fired industrial sources account for up to 60% of Pb in the grains. This study provides insights into the management of grain Pb pollution and a new method for its source apportionment.

Risk assessment of coal mine safety production management activities based on FMEA-BN

2021 ◽  
pp. 1-14
Author(s):  
Xiaochuan Wang ◽  
Huixian Wang
Keyword(s):  
Risk Assessment ◽  
Coal Mine ◽  
Production Management ◽  
Assessment Model ◽  
Mine Safety ◽  
Risk Level ◽  
Layer By Layer ◽  
Effect Analysis ◽  
Coal Mine Safety ◽  
Safety Production

At present, the situation of coal mine safety production is still grim. The key to solve the problem is to analyze the risk of management activities in the process of coal mine safety production. This paper takes the management activities in the process of coal mine safety production as the research object. Firstly, according to the coal mine safety production standardization management system, the safety production management activities are carried out layer by layer. Then, the Failure Mode and Effect Analysis (FMEA) is used to identify the human errors that lead to the failure of management activities at all levels of coal mine. Furthermore, the Fuzzy Set Theory is used to determine the evaluation results of experts on the risk level of coal mine safety production management activities. Combined with Bayesian network (BN), the risk assessment model of coal mine safety production management activities is established. Through the model, the risk probability of coal mine enterprise management activities is accurately calculated. According to the evaluation results, the risk of management activities in coal mine safety production is analyzed.

scholarly journals A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yan Wang ◽  
Jie Su ◽  
Sulei Zhang ◽  
Siyao Guo ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Influencing Factors ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Dynamic Risk ◽  
Risk Rating ◽  
Risk Assessment Method ◽  
Dynamic Risk Assessment

In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into three types: objective factors, subjective factors, and monitoring factors. The grading criteria of the risk rating factors are determined, and a dynamic risk rating system is established. A Bayesian network based on this system is constructed by expert knowledge and historical data. The nodes in the Bayesian network are in one-to-one correspondence with the three types of influencing factors, and the probability distribution is determined. Posterior probabilistic and sensitivity analyses are carried out, and the results show that the main influencing factors obtained by the two methods are basically the same. The constructed dynamic risk assessment model is most affected by the objective factor rating and monitoring factor rating, followed by the subjective factor rating. The dynamic risk rating is mainly affected by the surrounding rock level among the objective factors, construction management among the subjective factors, and arch crown convergence and side wall displacement among the monitoring factors. The dynamic risk assessment method based on the Bayesian network is applied to the No. 3 inclined shaft of the Humaling tunnel. According to the adjustment of the monitoring data and geological conditions, the dynamic risk rating probability of level I greatly decreased from 81.7% to 33.8%, the probability of level II significantly increased from 12.3% to 34.0%, and the probability of level III increased from 5.95% to 32.2%, which indicates that the risk level has risen sharply. The results show that this method can effectively predict the risk level during tunnel construction.

scholarly journals Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Hu ◽  
Junwu Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Assessment Model ◽  
Economic Losses ◽  
Risk Level ◽  
Deep Drainage ◽  
Safety Risk ◽  
Drainage Tunnel ◽  
Weight Method

Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

Fluoroquinolone Resistance in Campylobacter

2010 ◽  
Vol 73 (6) ◽  
pp. 1141-1152 ◽  
Author(s):  
JAMES L. SMITH ◽  
PINA M. FRATAMICO
Keyword(s):  
Meat Products ◽  
Dna Gyrase ◽  
Poultry Meat ◽  
Fluoroquinolone Resistance ◽  
Campylobacter Coli ◽  
Topoisomerase Iv ◽  
Animal Products ◽  
Poultry Products ◽  
Bacterial Transcription ◽  
Campylobacter Infection

Campylobacter is a commensal in poultry, and therefore, poultry and poultry products are major sources of Campylobacter infections in humans. Fluoroquinolones inhibit the growth of Campylobacter and other microorganisms by binding to bacterial DNA gyrase and DNA topoisomerase IV. These enzymes are associated with bacterial transcription, replication, and chromosome condensation and segregation. Selection pressure in the presence of fluoroquinolones rapidly leads to resistance in Campylobacter, due to the selection for mutations in DNA gyrase. Fluoroquinolone-resistant campylobacters have been found in poultry feces and carcasses, and in retail poultry meat products in most areas of the world. In addition, other food animals and the meat products from those animals have been shown contaminated with fluoroquinolone-resistant campylobacters. Even the removal of fluoroquinolones from use in treating animal diseases has not entirely eliminated the presence of resistant Campylobacter jejuni and Campylobacter coli from animals and animal products. Human exposure to Campylobacter infection could be reduced by using strategies that decrease colonization of chickens by the pathogen.

scholarly journals Risk factors, risk assessment, and prognosis in patients with gynecological cancer and thromboembolism

2019 ◽  
Vol 48 (4) ◽  
pp. 030006051989317
Author(s):  
Xindan Wang ◽  
Jing Huang ◽  
Zhao Bingbing ◽  
Shape Li ◽  
Li Li
Keyword(s):  
Risk Assessment ◽  
Gynecological Cancer ◽  
Area Under The Curve ◽  
Assessment Model ◽  
Receiver Operating Curve ◽  
Risk Level ◽  
Control Group ◽  
Risk Assessment Model ◽  
Vein Thrombosis ◽  
Risk Assessment Models

Objective This study aimed to investigate a suitable risk assessment model to predict deep vein thrombosis (DVT) in patients with gynecological cancer. Methods Data from 212 patients with gynecological cancer in the Affiliated Tumor Hospital of Guangxi Medical University were retrospectively analyzed. Patients were risk-stratified with three different risk assessment models individually, including the Caprini model, Wells DVT model, and Khorana model. Results The difference in risk level evaluated by the Caprini model was not different between the DVT and control groups. However, the DVT group had a significantly higher risk level than the control group with the Wells DVT or Khorana model. The Wells DVT model was more effective for stratifying patients in the DVT group into the higher risk level and for stratifying those in the control group into the lower risk level. Receiver operating curve analysis showed that the area under the curve of the Wells DVT, Khorana, and Caprini models was 0.995 ± 0.002, 0.642 ± 0.038, and 0.567 ± 0.039, respectively. Conclusion The Wells DVT model is the most suitable risk assessment model for predicting DVT. Clinicians could also combine the Caprini and Wells DVT models to effectively identify high-risk patients and eliminate patients without DVT.

Validation of risk assessment models predicting venous thromboembolism in inpatients with AECOPD: a multicenter cohort study

2021 ◽  
Author(s):  
Chen Zhou ◽  
Qun Yi ◽  
Huiqing Ge ◽  
Hailong Wei ◽  
Huiguo Liu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Venous Thromboembolism ◽  
High Risk ◽  
Assessment Model ◽  
Risk Level ◽  
Chronic Obstructive ◽  
Multicenter Cohort Study ◽  
Mortality And Morbidity ◽  
Increased Risk ◽  
Study Population

Background: As inpatients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) are at increased risk for venous thromboembolism (VTE), identifying high-risk patients requiring thromboprophylaxis is critical to reduce the mortality and morbidity associated with VTE. This study aimed to evaluate and compare the validities of the Padua Prediction Score and Caprini risk assessment model (RAM) in predicting the risk of VTE in inpatients with AECOPD. Methods: The inpatients with AECOPD were prospectively enrolled from seven medical centers of China between September 2017 and January 2020. Caprini and Padua scores were calculated on admission, and the incidence of 3-month VTE was investigated. Results: Among the 3277 eligible patients with AECOPD, 128 patients (3.9%) developed VTE within 3 months after admission. The distribution of the study population by the Caprini risk level was as follows: high, 53.6%; moderate, 43.0%; and low, 3.5%. The incidence of VTE increased by risk level as high, 6.1%; moderate, 1.5%; and low, 0%. According to the Padua RAM, only 10.9% of the study population was classified as high risk and 89.1% as low risk, with the corresponding incidence of VTE 7.9% and 3.4%, respectively. The Caprini RAM had higher area under curve (AUC) compared with the Padua RAM (0.713  0.021 vs 0.644 ± 0.023, P = 0.029). Conclusion: The Caprini RAM was superior to the Padua RAM in predicting the risk of VTE in inpatients with AECOPD and might better guide thromboprophylaxis in these patients.

scholarly journals Investment Risk Assessment of Dispersed Wind Power in Low Wind Speed Area Using a Hybrid Multi-Criteria Decision-Making Approach Based on Hesitant Fuzzy Linguistic Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Lingyun Liu ◽  
Jianli Zhou ◽  
Haoxin Dong ◽  
Yao Tao ◽  
Yunna Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Decision Making ◽  
Wind Speed ◽  
Risk Analysis ◽  
Wind Power ◽  
Assessment Model ◽  
Risk Level ◽  
Low Wind Speed ◽  
Fuzzy Linguistic

Reducing the phenomenon of wind curtailment is essential to improve the level of wind power consumption. Wind power development in China has shifted to southeast region and dispersed wind power has developed rapidly and gradually become the new main force. However, various obstacles limit the smooth progress of dispersed wind power in low wind speed area. An important point is the absence of targeted risk analysis and evaluation methods. Therefore, the principal contribution of this paper is to find out the critical risk factors of such projects and propose the risk assessment model. First, 18 critical risk factors are identified using the constructed five-dimensional risk analysis model. Second, the hesitant fuzzy linguistic term set with credibility is utilized to collect evaluation information on one hand and to improve the multicriteria decision-making methods involved on the other hand. Third, the risk evaluation and ranking for 10 provinces that mainly develop dispersed wind power is carried out. The evaluation results indicate that the risk level of dispersed wind power projects is “Relatively Low” in most study provinces and the risk levels of Guangdong and Fujian are higher. It is worth noting that the consistency between the evaluation results and the distribution of wind resources can be used to guide the formulation of stimulus policies. Besides, the ranking results show some preference for investment choice. Finally, dual sensitivity analysis tests the stability of the model and shows the ranking results under different decision preferences. Scenario analysis gives the possible risk scenarios and evaluation results in the future. This study can provide insightful inspiration to wind power investors, risk management practitioners, and policymakers.

Managing Geohazards in Hard Conditions: Monitoring and Risk Assessment of Pipelines That Crosses Amazonian Jungles and the Andes

2015 ◽  
Author(s):  
John Erick Malpartida Moya
Keyword(s):  
Risk Assessment ◽  
Natural Gas ◽  
Management System ◽  
Alternative Assessment ◽  
Probability Model ◽  
Assessment Model ◽  
Risk Level ◽  
The Andes ◽  
Integrity Management ◽  
The Right

The hydrocarbon transmission system that belongs to Transportadora de Gas del Perú (TGP), comprise two parallel pipelines: a natural gas (NG) pipeline, which runs from the upstream facilities at Malvinas, in the Amazonian jungle of Cusco-Peru, to a reception station at Lurín (south of Lima); and a natural gas liquid (NGL) pipeline, which transports the condensed liquids from Malvinas to Pisco, on the coast of Peru. The right-of-way (ROW) crosses the Peruvian jungle with both pipelines in its first 200 kilometers, after climbs over the Andes Mountains at an elevation of 4860 masl, and descends steeply toward the coast along the Pacific Ocean. TGP’s Pipeline Integrity Management System (PIMS) has identified the Weather and Outside Forces such as main threat which increases the risk of the integrity of its pipelines in jungle and mountains areas. In pipelines with particular characteristics such as pipeline which crosses the Andes and the Amazonian jungle, this threat can cause even a greater number of failures than other threats such as Corrosion or TPD. This threat caused the 70% of the leaks of our NGL pipeline. The geotechnical and geologic conditions were key factors in the risk level of the system since the beginning of the operation. The PIMS of TgP has achieved an important development in the use and suitable handling of the information provided by diverse techniques of pipeline mechanical and the geotechnical inspection and monitoring of the ROW. Different alternative techniques of monitoring have to be taken into account. It is important also to take into account alternative assessment methodologies in order to determine the pipeline exposure, resistance and mitigation to this threat. By integrating these inspections, monitoring and particular assessments as part of PIMS, we have been able get accurate risk assessments in order to mitigate and/or minimize the occurrence of failures. In this way we are able to optimize efforts to preserve the integrity of our system and in addition minimize personal, environmental and business impact. Risk Assessment is an essential part of the Integrity Management System. Our company developed a very comprehensive and detailed Risk Assessment Model based on the guidelines of API 1160 and ASME B31.8S. The probability model is based on logic trees instead indexing models (the most commonly used), that is because we want to reflect in the result all the variables and factors: Exposition, Resistance and Mitigation Factors. By means of the pipeline Integrity Management System developed by TGP, we are able to mitigate risks due to outside forces. We have been able to act before any event becomes critical: TGP NGL pipeline’s failure rate due to WOF (number of failures per 1000 kilometers-years) decreases substantially from 5.39 to 1.26 in ten years of operation. For the whole system that rate decreases from 2.33 to 0.46.

scholarly journals Determination of quality of poultry meat in case of damage to ectoparasites

2019 ◽  
pp. 48-53
Author(s):  
L. Nagorna ◽  
B. Vovk ◽  
D Dubinina
Keyword(s):  
Integrated Approach ◽  
Quality Characteristics ◽  
Poultry Meat ◽  
Dermanyssus Gallinae ◽  
Poultry Products ◽  
Calorie Content ◽  
Livestock Products ◽  
Qualitative Characteristics

Introduction. Obtaining high-quality and safe poultry products is impossible without an integrated approach and competent solution of biosafety issues in farms. In conditions of poultry rearing using intensive technologies, the problem of ectoparasitic poultry damage, in particular the chicken tick Dermanyssus gallinae, is quite acute. The defeat of the bird by temporary and permanent ectoparasites is the reason for the deterioration of the quality characteristics of poultry carcasses. The goal of the work. The purpose of our research was to determination of the quality of poultry meat when affected by ectoparasites. Materials and methods of research. These studies were conducted under the conditions of the Department of Veterinary Expertise, Microbiology, Zohygiene and Safety and Quality of Livestock Products of Sumy National Agrarian University. For the study, carcasses of poultry of slaughter conditions were selected from a farm unsuccessful for the red chicken tick Dermanyssus gallinae. Results of research and discussion. In the course of the studies, it was proved that the slaughter yield of meat in chickens that were infected with ectoparasites was less compared to the slaughter yield of poultry meat obtained from farms or poultry houses that are relatively ectoparasite. In the meat of sick poultry, the moisture content increased by 2-3% and protein by 1-2%, while at the same time reducing the amount of fat by an average of 4%. As a result of studies, it was found that the changes found in meat indicated the development of pathological processes in meat, which led to the intensification of spoilage processes. Studies of carcasses obtained from healthy poultry found that they retained freshness for 9 days, and carcasses received from sick poultry, already for 5 days did not match the freshness of meat. Conclusions and prospects for further research. Based on a set of studies, we found that the qualitative indicators of meat of healthy and sick poultry differed. Intravital damage to poultry by ectoparasites caused changes in the chemical composition of meat, a decrease in its calorie content and biological value. In the future, it is planned to determine the qualitative characteristics of poultry carcasses in the associated course of nematodes and aсarosis.

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