Perform Risk Assessment Research Articles

Research on Audit Data Analysis under the Background of Big Data

With the arrival of the era of big data, the audit thinking mode has been promoted to change. Under the influence of big data, audit will become an activity of continuous behavior. Through cloud data, the staff can control the operation status and risk assessment of the whole enterprise, timely analyze, control and respond to risks, and protect the enterprise to reduce risks. With the advent of the era of big data, audit data analysis is becoming more and more important. At the same time, a large amount of data analysis also brings challenges to auditors. Methods to deal and solve the challenges has become an urgent problem to be solved at present. This paper mainly studies the challenges and countermeasures brought by the changes of audit approaches and methods to audit data analysis under the background of big data, so as to continuously innovate and practice the improvement of audit technology and promote the healthy and rapid development of social economy.

Ground displacements revealed by A-DInSAR analysis in the Germano iron mining complex before and after the Fundão Dam collapse using Sentinel-1 data

Advanced differential SAR interferometry (A-DInSAR) has been used as an effective monitoring tool in mining environments. This work presents an investigation of surface displacement in the Germano iron mining complex (Mariana, Minas Gerais, Brazil), where on November 5, 2015, the Fundão tailings dam collapsed. Initially, the analysis was performed with 14 Sentinel-1 images, acquired from May 8, 2015, to November 4, 2015, and focused on the Fundão dam before its rupture to detect prior signs of surface deformations. The analysis after the Fundão dam collapse was conducted in the Germano area using 43 Sentinel-1 images, acquired from November 16, 2015 to May 15, 2017, and aimed at detecting surface displacement on the remaining infrastructure, the Sela&Tulipa and Selinha dikes and the main Germano tailings dam, which were directly or indirectly affected by the accident. The results reveal precursor signals of surface displacement at the Fundão dam prior to rupture, particularly on the left abutment setback sector where the collapse started according to a witness, reaching accumulated values of up to −60 mm. The results provided by the A-DInSAR analysis after the dam collapse indicate a stability in the Sela&Tulipa and Selinha dikes as well as in the main Germano dam, which is corroborated by in situ topographic measurements. On the auxiliary dikes within the Germano reservoir, accumulated displacement of up to −90 mm caused by settlements and continuous traffic of vehicles was detected. In addition, the detected accumulate displacement within the reservoir showed values of up to −120 mm, in general caused by settlements of the waste dry material due to the inactivity of the mining process. The investigation emphasized the important role that satellite-based A-DInSAR can play in mitigating possible accidents and for operational planning and risk assessment in mining operations.

Comprehensive Operation Risk Assessment of a Highway Maintenance Area Based on Reliability

To study the influence of various working conditions on traffic safety in the maintenance area of a mountain expressway, 675 groups of PTV VISSIM traffic simulation experiments were designed with various traffic organization modes, traffic volumes, traffic compositions, activity area lengths, and speed limit values. The results show that the activity area length of a closed lane, a compressed lane, and a borrowed opposite lane had no marked influence on the traffic conflicts. There was a significant positive correlation between the proportion of trucks and the number of traffic conflicts, and the number of traffic conflicts increased significantly with an increase in traffic volume. In the closed lane and borrowed opposite lane scenarios, the increase in traffic conflicts was more obvious with the increase in traffic volume. There were obvious differences in the number of traffic conflicts under different forms of traffic organization. The number of conflicts in the compressed lane scenario was the lowest, and in the borrowed opposite lane scenario the number of conflicts was the highest. There was a significant correlation between a decrease in the speed limit and an increase in the number of traffic conflicts. Finally, with traffic volume, truck proportion, and speed limit values as independent variables and reliability as a dependent variable, linear regression equations of reliability were established for three traffic organization scenarios: closed lane, borrowed opposite lane, and compressed lane.

Key Risk Factors Influencing Harbor Tugboat Operations for Kaohsiung Port

The harbor tugboat operation is a very important business and process of Kaohsiung port. To ensure the safety of harbor tugboat operations and to reduce the occurrence of accidents, it is an important issue to conduct a risk assessment of tugboat operations for Kaohsiung port. Hence, the main purpose of this paper is employ the analytic hierarchy process (AHP) method to evaluate key risk factors influencing the harbor tugboat operations for Kaohsiung port. At first, a total of three evalu-ation dimensions with 14 preliminary risk factors are gener-ated from literature and interviews of tugboat captains. We then applied the steps of AHP method and AHP experts’ ques-tionnaires to evaluate the key risk factors. The empirical re-sults showed that: (1) ‘Tugboat operators’ is the most im-portant risk evaluation dimension influencing harbor tugboat operations for Kaohsiung port in Taiwan. (2) In order of rela-tive importance, The top six key risk factors influencing the harbor tugboat operations for Kaohsiung port are “judgment error,” “work fatigue,” “poor skills,” “communication mis-understanding,” “negligence of the relative motion between tugboats and commercial ships,” and “personality factors,” respectively. Furthermore, some recommendations concerning effective risk management strategies and advices are provided for harbor tugboat practitioners.

Integrating flare gas with cogeneration systems: Operational risk assessment

Flare gas utilization in a cogeneration plant is an attractive proposition considering its environmental and economic incentives. Evaluation of the operational risk of integrating flare gas with cogeneration is complex due to the uncertainty in flare gas quality and process conditions. The current study delves into the change in operational risk after modifying the existing cogeneration process with the addition of fuel from flare gas. Based on the process hazards evaluation, the current study identified two critical loss control events (or top events) - boiler gas temperature exceeding operating design temperature and rich fuel mixture in the boiler firebox. The underlying causes that may contribute and lead to these loss control events were identified using fault trees and were updated to the existing cogeneration scenarios. Similarly, different consequential events that may arise from the loss control events were analysed using event trees with existing system safeguards. A Bayesian network model with its explanatory power mapped all the identified dangerous scenarios from the fault trees and event trees to predict integrated systems reliability and diagnose causal factors. Bayesian Network analysis illustrates the dynamic cause-effect relationship and determines the risk escalation due to the changes in the composition of flare gas that is fed to the boiler. The presence of a higher percentage of hydrogen (above 40 mol%) in the flare gas escalates the risk of lean air to fuel ratio in the boiler firebox and increases boiler radiation zone duty. These conditions are detrimental to the boiler firebox operation and can result in critical scenarios such as flame impingement and tube rupture. Additionally, other consequences-a steam explosion and boiler stack explosion were also investigated. However, their probability of occurrence was relatively insignificant with the given frequency of flare gas utilization in the cogeneration system.

Chitosan-dosed adsorptive filter media for removal of formaldehyde from indoor air – Performance and cancer risk assessment

It is firmly established that contemporary building materials and indoor furnishings are associated with elevated concentrations of formaldehyde in indoor air, representing a hazard to human health. To mitigate this issue, formaldehyde and other pollutants in indoor air are removed via air conditioning systems fitted with appropriate filters. Based on positive results from earlier, relevant research, this study investigates the use of air conditioning filters treated with chitosan as potential eco-friendly absorbents for removal of formaldehyde, a significant indoor air pollutant.The filter is sprayed with different dosages of chitosan, in accordance with our previous work [8]. Removal rate and adsorption of formaldehyde are calculated for the health risk assessment. After twenty-four hours testing, the results showed the averaged concentration of formaldehyde is 1.146 ppm, 0.714 ppm, and 0.084 ppm with chitosan dosage of 2.6 mg m−2, 5.3 mg m−2, 8.0 mg m−2, respectively. The averaged reduction of formaldehyde concentration is 64.9%, 80.0%, and 96.0%; the averaged absorption of chitosan on formaldehyde is 0.167 mg, 0.204 mg and 0.271 mg for chitosan dosage of 2.6 mg m−2, 5.3 mg m−2, 8.0 mg m−2, respectively. The risk characterization figures without spaying chitosan are 2.94, 2.65 and 7.07 times higher when compared with the same figures associated with filters treated with 2.6 mg m−2, 5.3 mg m−2, and 8.0 mg m−2 of chitosan. This study finds that chitosan has strong potential as a commercial adsorbent. Increasing the amount of chitosan applied to the filter substrate improves the efficacy of the absorbent and further reduces the indoor formaldehyde concentration and the associated carcinogenic risk.

Unmanned Aircraft Systems Risk Assessment Based on SORA for First Responders and Disaster Management

Worldwide, there is a significant increase in the use of unmanned aerial vehicles (UAVs) by emergency services. They offer a lot of possibilities during rescue operations. Such a wide application for various purposes and environments causes many threats related to their use. To minimize the risks associated with conducting air operations with UAVs, the application of the SORA (Specific Operations Risk Assessment) methodology will be important. Due to its level of detail, it is a methodology adapted to civilian use. In this article, the authors’ team will try to develop guidelines and directions for adapting SORA to the requirements of the operational work of emergency services. Thus, the following article aims to present the most important risks related to conducting operations with the use of UAVs by first responders (FRs), and to show the sample risk analysis performed for this type of operation on the example of the ASSISTANCE project. The paper describes, on the one hand, possibilities offered by UAVs in crisis or disaster management and step-by-step Specific Operations Risk Assessment (SORA), and on the other hand, presents possible threats, consequences and methods of their mitigation during FR missions.

Field assessment of the risk of feral cat baits to nontarget species in eastern Australia.

Feral cats (Felis catus) pose a significant threat to wildlife, agriculture, and human health through predation, disease transmission, and competition with native animals. Controlling feral cats and their impacts, however, is challenging. New and emerging 1080-based feral cat baits have shown promising results in western and central Australia; however, the safety of these new baits for nontarget species in eastern Australia, where many native animals are more sensitive to compound 1080 (sodium fluoroacetate) than their western conspecifics, has not been assessed. We investigated the uptake of 499 toxic Eradicat® baitsby nontarget animals across five different eastern Australian environs and the uptake of nontoxic Eradicat and Hisstory® baits at an additional two sites. Using field-based observations of species eating or removing baits, we determined that 13 nontarget species (eight mammals, four birds, and one reptile) were at high risk of individual mortality, with individuals of 11 of those 13 species (seven mammals, four birds) observed consuming enough toxic Eradicat in a single visit to ingest a lethal dose of 1080. Feral cats (the target species) consumed only 3.1% of monitored baits, which was only 52% of the 31 baits they encountered. We recommend undertaking targeted population monitoring of species identified at high risk of individual mortality, to determine whether Eradicat baits present a population-level risk to these species. Our findings suggest that the small-sized Eradicat baits present a greater risk to nontarget species in eastern Australia than the larger traditional 1080-based meat baits used for the control of wild dogs and foxes. Our study highlights the importance of performing risk assessments for different bait types, even when the same toxin is used, and of performing site-specific nontarget risk assessments of new baits such as Eradicat to assist developing guidelines for their safe and effective use in different environs. Integr Environ Assess Manag 2022;18:224-244. © 2021 State of Queensland. Integrated Environmental Assessment and Management © 2021 SETAC.

Radiofrequency-induced heating of broken and abandoned implant leads during magnetic resonance examinations.

PurposeThe risks of RF‐induced heating of active implantable medical device (AIMD) leads during MR examinations must be well understood and realistically assessed. In this study, we evaluate the potential additional risks of broken and abandoned (cut) leads.MethodsFirst, we defined a generic AIMD with a metallic implantable pulse generator (IPG) and a 100‐cm long lead containing 1 or 2 wires. Next, we numerically estimated the deposited in vitro lead‐tip power for an intact lead, as well as with wire breaks placed at 10 cm intervals. We studied the effect of the break size (wire gap width), as well as the presence of an intact wire parallel to the broken wire, and experimentally validated the numeric results for the configurations with maximum deposited in vitro lead‐tip power. Finally, we performed a Tier 3 assessment of the deposited in vivo lead‐tip power for the intact and broken lead in 4 high resolution virtual population anatomic models for over 54,000 MR examination scenarios.ResultsThe enhancement of the deposited lead‐tip power for the broken leads, compared to the intact lead, reached 30‐fold in isoelectric exposure, and 16‐fold in realistic clinical exposures. The presence of a nearby intact wire, or even a nearby broken wire, reduced this enhancement factor to <7‐fold over the intact lead.ConclusionBroken and abandoned leads can pose increased risk of RF‐induced lead‐tip heating to patients undergoing MR examinations. The potential enhancement of deposited in vivo lead‐tip power depends on location and type of the wire break, lead design, and clinical routing of the lead, and should be carefully considered when performing risk assessment for MR examinations and MR conditional labeling.

Potential infection risk assessment of improper bioaerosol experiment operation in one BSL-3 laboratory based on the improved Wells-Riley method

Laboratory-acquired infection caused by improper operation in the course of experimental process is frequently reported, so the exposure risk study of biosafety laboratory has become a top priority. In this study, the infection risk of bioaerosols under three typical improper operations was investigated by means of Computational Fluid Dynamics (CFD) method coupled with Wells-Riley equation based on one typical BSL-3 laboratory bioaerosol releasing experiment. Filed measurement of concentrations of two bioaerosols (Serratia marcescens and phage ΦX174) were used to verify the accuracy of the CFD model. Combined with air-age isosurface map, the potential infection risk and time disinfection law were explored in detail. The results showed that the air recirculation zone of the laboratory is mainly located near the experimental equipments, and the bioaerosol removal efficiency in regions above 1.5 m is low. The risk of infection in different regions varied by more than 20 times. In addition, the potential exposure per minute was higher at the beginning of the leak, and the risk value was maintained at about 1%/min after 4 min. These findings provide some guidance suggestions for disinfection procedures that the first is to avoid the initial exposure of leakage, and the second is to grasp high-risk targeted disinfection location.

The Implementation of a Risk Stratification Tool for the Haematuria Clinic to Optimise the Management of Patients with High-Risk Bladder Cancer in the COVID-19 Era

Introduction: Elective waiting lists have become more stretched because of the COVID-19 pandemic and patients have evidently been waiting longer for treatment. Patients with high-risk bladder cancer require timely treatment and there is strong evidence to suggest that delay in treatment contributes to a risk of disease progression, metastases and death. Studies have shown that bladder tumour appearances at flexible cystoscopy (FC) can accurately predict high-risk disease on histopathology following transurethral resection. An opportunity for service improvement resulted in a review of the practice followed by the authors and the development of a risk stratification tool for the haematuria clinic which aimed to prioritise the pathway of those with high-risk disease. Materials and methods: A risk stratification tool was developed for patients with newly diagnosed bladder tumours at the haematuria clinic. A tumour assessment carried out at FC is used to predict patients with high-risk disease, thus allowing those patients to be prioritised over those with low-risk disease on the waiting list. It also includes a reminder to request staging investigations for those with suspected high-risk disease. A closed loop audit was carried to review the following: the quality of tumour risk assessment at the haematuria clinic; time from FC to transurethral resection of bladder tumour (TURBT); concordance between tumour assessment at FC and histopathology after TURBT; efficiency of arranging early staging investigations for those with suspected high-risk bladder cancer; time from FC to staging CT scan. Results: A risk assessment was carried out for 93% of patients in the second cycle compared with 40% in the first cycle. Concordance was noted in 83% of those with confirmed high-risk non-muscle invasive bladder cancer (NMIBC) and 83% of muscle invasive bladder cancer (MIBC) in the first cycle, and in 100% of patients with high-risk NMIBC and MIBC in the second cycle. The interval from FC to TURBT decreased from 27 days in the first cycle to 21 days in the second cycle in those with high-risk NMIBC, and from 27 to 13 days in those with MIBC. Time from FC to staging CT for patients with high-risk bladder cancer was 6 days in the first cycle and 3 days in the second cycle if the request was made from the haematuria clinic. If the CT scan was requested later, the interval increased to 39 days in the first cycle and 22 days in the second cycle. Conclusion: There is a high degree of concordance between tumour risk assessment at FC and final pathology following TURBT which is supported by several series. Performing risk assessment and requesting staging investigations at the haematuria clinic for patients with newly diagnosed high-risk bladder cancer can minimise delays in their treatment pathway and improve patient outcomes.

High-resolution performance tests of nucleation and growth suppression by two kinetic hydrate inhibitors

The development of kinetic hydrate inhibitor (KHI) performance rankings is essential for these chemicals’ implementation within risk-based hydrate management strategies. Here, we obtain high resolution induction time distributions and growth rate measurements with a high pressure, stirred, automated lag time apparatus (HPS-ALTA) to make rigorous comparisons between two industrial KHIs (Inhibex 501 and 713). These comparisons reveal performance rankings can be subcooling dependent, and that growth rate alone is insufficient for accurate screening. Application of a Classical Nucleation Theory (CNT) based model to these results suggests that nucleation in systems dosed with Inhibex 501 and 713 respectively occurs on 7 and 700 times as many sites as compared to KHI-free systems, while the nucleation work required at these sites is increased by a factor of 9 and 28. When combined with gamma distributions and fluid residence times, these measurements can help inform the operational risk assessment of a hydrate blockage.

A noval risk assessment method and application for the on-site power operations

In order to improve the risk warning and management ability of power industry workers to implement an on-site power operation, this paper proposes a new risk assessment method based on a fuzzy comprehensive assessment method with variable weight. This method begins with selecting the factors related to the risk assessment of on-site power operations. And then, the Analytic Hierarchy Process (AHP) method is used to determine the initial value of the relative weight of the risk assessment factors. Afterward, according to the actual on-site power operation situation, the score value of the risk assessment factors can be obtained. This paper innovatively proposed a variable weight mechanism, which redistributes the relative weight of risk assessment factors according to the scores of risk assessment factors. And through the membership function to determine the fuzzy judgment risk matrix to obtain the risk level of power operations. Finally, take the actual on-site power operation of “220 kV line protection inspection of a power department” as an example. Comparing the evaluation strategy of this paper with the traditional evaluation strategy, we can concluded that the evaluation strategy of this paper not only can obtain the risk level of electric power operation directly, but also can judge whether there are potential high-risk factors in the electric operation through the degree of medium-risk or high-risk membership.

Risk Assessment and Sustainability of Wastewater Treatment Plant Operation

Water and water management, which also includes wastewater treatment plants (WWTPs), are considered essential elements critical infrastructure. A disruption of their operation can result in the discharge of wastewater into the environment without having been adequately treated. This can cause health problems, contamination of soil, groundwater and surface water, etc. In order to provide operational safety and sustainability of WWTP operation, it is necessary to establish protection against potential risk activation, together with risk minimization and enhanced preparedness to address the risks. The article deals with the application of risk management stages on the selected object of the municipal WWTP facility in the form of a case study. The risk identification phase consisted of the identification of assets and risks. The assets were grouped together due to the complexity of the WWTP operation. A combination of methods, a safety audit, a checklist and semi-structured interviews were used to identify the risks in three iterations. A risk register was created as a result of the risk identification phase. Subsequently, a risk analysis was carried out, in which the scenarios of the risk impact on the assets were examined, the index levels of probability and impacts were determined, and the risk estimate was performed. The Bowtie Analysis Method was used to illustrate the causes and consequences for one of the critical risks. The result of the study is the risk evaluation identified undesirable and unacceptable risks for which risk management methods were proposed

Improving Risk Assessment of Miscarriage During Pregnancy with Knowledge Graph Embeddings.

Miscarriages are the most common type of pregnancy loss, mostly occurring in the first 12 weeks of pregnancy. Pregnancy risk assessment aims to quantify evidence to reduce such maternal morbidities, and personalized decision support systems are the cornerstone of high-quality, patient-centered care to improve diagnosis, treatment selection, and risk assessment. However, data sparsity and the increasing number of patient-level observations require more effective forms of representing clinical knowledge to encode known information that enables performing inference and reasoning. Whereas knowledge embedding representation has been widely explored in the open domain data, there are few efforts for its application in the clinical domain. In this study, we contrast differences among multiple embedding strategies, and we demonstrate how these methods can assist in performing risk assessment of miscarriage before and during pregnancy. Our experiments show that simple knowledge embedding approaches that utilize domain-specific metadata perform better than complex embedding strategies, although both can improve results comparatively to a population probabilistic baseline in both AUPRC, F1-score, and a proposed normalized version of these evaluation metrics that better reflects accuracy for unbalanced datasets. Finally, embedding approaches provide evidence about each individual, supporting explainability for its model predictions in such a way that humans understand.

Prognostic Models Predicting Mortality in Preterm Infants: Systematic Review and Meta-analysis.

Prediction models can be a valuable tool in performing risk assessment of mortality in preterm infants. Summarizing prognostic models for predicting mortality in very preterm infants and assessing their quality. Medline was searched for all articles (up to June 2020). All developed or externally validated prognostic models for mortality prediction in liveborn infants born <32 weeks' gestation and/or <1500 g birth weight were included. Data were extracted by 2 independent authors. Risk of bias (ROB) and applicability assessment was performed by 2 independent authors using Prediction model Risk of Bias Assessment Tool. One hundred forty-two models from 35 studies reporting on model development and 112 models from 33 studies reporting on external validation were included. ROB assessment revealed high ROB in the majority of the models, most often because of inadequate (reporting of) analysis. Internal and external validation was lacking in 41% and 96% of these models. Meta-analyses revealed an average C-statistic of 0.88 (95% confidence interval [CI]: 0.83-0.91) for the Clinical Risk Index for Babies score, 0.87 (95% CI: 0.81-0.92) for the Clinical Risk Index for Babies II score, and 0.86 (95% CI: 0.78-0.92) for the Score for Neonatal Acute Physiology Perinatal Extension II score. Occasionally, an external validation study was included, but not the development study, because studies developed in the presurfactant era or general NICU population were excluded. Instead of developing additional mortality prediction models for preterm infants, the emphasis should be shifted toward external validation and consecutive adaption of the existing prediction models.

Effects of salinity, stocking density and feeding in Macrobrachium pantanalense larviculture

Macrobrachium pantanalense is a recently described endemic shrimp from Pantanal. The species completes its life cycle in freshwater and is used as an ornamental species for freshwater aquaria, as well as a model organism in risk assessment trials of anthropic impacts. However, all risk assessment trials performed to date have used wild specimens. As such, it is paramount to standardize the laboratory culture of M. pantanalense to allow the use of cultured specimens that safeguard the reliability and replicability of trials being performed. The present work evaluated the use of freshwater and different salinity levels (2, 4 and 6) for the larviculture of M. pantanalense, as well as larval stocking densities of 20, 40 and 60 larvae L−1. Six different larval feeding regimes were also evaluated: 100 % newly hatched Artemia nauplii (AN), 100 % wild zooplankton (WZ), 100 % inert diet (ID), 50 % AN + 50 % WZ, 50 % AN + 50 % ID and 50 % WZ + 50 % ID. Larvae of M. pantanalense were able to successfully metamorphose to post larvae (PL) when cultured in freshwater, although a higher % of PL was achieved under a salinity of 4 (25.6 ± 15.0 %). No significant differences were recorded in survival under different stocking densities. The best larval feeding regime tested was 100AN, promoting a higher production of PL (44.3 ± 18.3 %) when compared with other diets. Overall, the larviculture of M. pantanalense can be enhanced by using brackish water instead of freshwater. By employing a moderate larval stocking density (up to 60 larvae L−1) and an easy to use “of-the-shelf” larval live feed (Artemia nauplii) PL of M. pantanalense can be produced in the laboratory. The present findings are a first step towards the development of a production protocol for M. pantanalense in the laboratory to perform risk assessment trials of growing anthropic stressors impacting Pantanal.

An extension approach to estimate soil corrosivity for buried pipelines

Underground oil and gas pipelines are usually expected to be long-lasting. Corrosion of these steel pipelines may cause structural failures that significantly threaten life and cause environmental hazards. Therefore, developing a reliable approach to estimate soil corrosivity is important for designing a targeted anti-corrosion structure and performing risk assessment. In this study, an extension-based approach is proposed to evaluate soil corrosivity based on the following seven soil properties: redox potential, soil resistivity, pH, pipe-to-soil potential, water content, Chloride (Cl−) concentration, and salt content. Specifically, the soil was classified into five corrosivity levels, and the classic domain element, joint domain element, and element to be evaluated were established by the matter-element theory. Then, the corrosivity level was determined based on the maximum correlation degree of the multi-index to the five levels, and the final classification was obtained from the eigenvalues of the grade variables. Finally, the case study was examined to validate the application of the approach, and the results were compared to the method of buried metal specimens, which was used as a criterion. The present approach, which provided a more detailed classification, was demonstrated to be a superior choice for classifying soil corrosivity levels.

Industrial application of QbD and NIR chemometric models in quality improvement of immediate release tablets

Quality by Design (QbD) and chemometric models are different sides of the same coin. While QbD models utilize experimentally designed settings for optimization of some quality attributes, these settings can also be utilized for chemometric prediction of the same attributes. We aimed to synchronize optimization of comparative dissolution results of carvedilol immediate release tablets with chemometric prediction of dissolution profile and content uniformity of the product. As an industrial application, selection of variables for optimization was done by performing risk assessment utilizing the archived product records at the pharmaceutical site. Experimental tablets were produced with 20 different settings with the variables being contents of sucrose, sodium starch glycolate, lactose monohydrate, and avicel Ph 101. Contents of the excipients were modelled with F1 dissimilarity factor and F2 similarity factor in HCL, acetate, and USP dissolution media to determine the design space. We initiatively utilized Partial Least Square based Structural Equation Modelling (PLS-SEM) to explore how the excipients and their NIR records explained dissolution of the product. Finally, the optimized formula was utilized with varied content of carvedilol for chemometric prediction of the content uniformity.

Research on risk assessment of high-speed railway operation based on network ANP

Purpose The causes of high-speed railway failures are complex, and it is difficult to quantitatively and accurately describe safety evaluation. The purpose of this paper is to construct a model to ensure the safety of high-speed railway operations. Design/methodology/approach The authors construct a high-speed railway operation safety evaluation index system from four aspects: personnel, equipment, environment and management and analyze the inter-coupling relationship of various safety factors. Based on the evaluation index system, the use of network analytic hierarchy process (ANP) and fuzzy comprehensive evaluation will be used to establish a high-speed railway operation safety evaluation model. Findings Through the literature investigation and field investigation, combined with high-speed railway safety key points and system composition, 4 first-level indicators and 17 second-level indicators were selected to construct a high-speed railway operation safety evaluation index system. It can be seen from the results that the personnel management system and the signal and control system have the largest weight. Originality/value On the basis of establishing an evaluation index system, comprehensively considering the internal coupling relationship between evaluation indexes and the fuzziness of high-speed railway operation safety evaluation, high-speed railway uses ANP fuzzy network analysis method to construct high-speed railway operation, and the safety evaluation model has certain advantages and practicability in the case of the relative lack of high-speed railway operation data and fault data.