scholarly journals Assessment of the Influence of Technological Risk Factors on the Undercut Parameters When Mining Kimberlite Using Block Caving

2021 ◽  
Vol 666 (2) ◽  
pp. 022049
Author(s):  
A A Kovalenko ◽  
O V Petrova ◽  
Yu D Mambetova
2016 ◽  
Vol 9 (2) ◽  
pp. 159-188 ◽  
Author(s):  
M. Ramkumar

Purpose The increasing complexity and dynamism of new technology implemented or to implement have imposed substantial uncertainties and subjectivities in the risk assessment process. This paper aims to present a risk assessment methodology for e-procurement implementation based on modified analytic network process (ANP) coupled with fuzzy inference systems. Design/methodology/approach ANP is modified in such a way that the experts can provide necessary data precise numerical value, a range of numerical values, a linguistic term or a fuzzy number. The proposed methodology incorporates knowledge and judgements obtained from experts to carry out identification of risk factors and to assess the risk magnitude of the identified risk factors based on factor index, risk likelihood and risk severity. Findings Risk magnitude of third party systems are found to be minor with a belief of 100 per cent, and for in-house systems, the risk is found to be between minor with a belief of 30 per cent and major of 70 per cent. The results indicate that by using the proposed methodology, the technological risk assessment of new technology can be done effectively and efficiently. Research limitations/implications Using the results of this study, the practitioners can better know the pros and cons of implementing both in-house and third party e-procurement systems. Originality/value The modified ANP is used mainly to structure and prioritize the diverse risk factors. Finally, an illustrative example on technological risk assessment of both in-house and third party e-procurement systems is used to demonstrate the applicability of the proposed methodology in real life situations.


2021 ◽  
Author(s):  
Emanuel Dantas ◽  
Ademar Sousa Neto ◽  
Mirko Perkusich ◽  
Hyggo Almeida ◽  
Angelo Perkusich

Risk management is essential in software project management. It includes activities such as identifying, measuring and monitoring risks. The literature presents different approaches to support software risk management. In particular, the researchers popularly used Bayesian Networks because they can be learned from data or elicited from domain experts. Even though the literature presents many Bayesian networks (BN) for software risk management, none focus on technological risk factors. Given this, this paper presents a BN for managing risks of software projects and the results of a static validation performed through a focus group with eight practitioners. As a result, the practitioners agreed that our proposed to manage technological risks of software projects using BN is valuable and easy to use. Given the successful results, we concluded that the proposed solution is promising.


2019 ◽  
Vol 3 (1) ◽  
pp. 18-26
Author(s):  
Oyeronke T Ogunbayo

Significant risk factors such as social, technological, economic, environmental and political in the timing development, minimization of cost and expected return as they influence the successful delivery process of residential property development were investigated in this study towards enhancing real estate development decisions. This is expedient because it has been argued that the link between project success criterions determines a successful project delivery. Data were obtained from members of Real Estate Developers Association (REDAN) in Abuja through the use of a self-administered questionnaire. The respondents were asked to rate the influence of risk factors on residential property development parameters, and the data were computed using logistic regression analysis. The study revealed that real estate developers were more concerned with the influence of economic and technological risk than other sources of risk. Also, the statistical effects were computed through logistic regression analysis. It was explained by significant value (p<0.05) which depicts the likelihood of the risk factor which could either be positive or negative, as explained by beta (β). The findings revealed the effect of economic risk factors in timing development to be (β=1.833, p<0.05). Also, the effect of technological risk factors to influence development cost were found to be (β=--.187, p<0.05) while the effect of economic risk factors on return was found to be (β=1.026, p<0.05). The main contribution of the study to the body of knowledge is developing a risk factors assessment technique for practitioners and academia to assess the residential property development performance as related to timely completion, cost and returns to enhance the need to develop competence in managing and minimizing the effect of risk factors on the residential investment appraisal. Keywords: Development appraisal, Expected return, Profit maximization, Residential property, Risk analysis, Time.


2019 ◽  
Vol 133 (22) ◽  
pp. 2283-2299
Author(s):  
Apabrita Ayan Das ◽  
Devasmita Chakravarty ◽  
Debmalya Bhunia ◽  
Surajit Ghosh ◽  
Prakash C. Mandal ◽  
...  

Abstract The role of inflammation in all phases of atherosclerotic process is well established and soluble TREM-like transcript 1 (sTLT1) is reported to be associated with chronic inflammation. Yet, no information is available about the involvement of sTLT1 in atherosclerotic cardiovascular disease. Present study was undertaken to determine the pathophysiological significance of sTLT1 in atherosclerosis by employing an observational study on human subjects (n=117) followed by experiments in human macrophages and atherosclerotic apolipoprotein E (apoE)−/− mice. Plasma level of sTLT1 was found to be significantly (P<0.05) higher in clinical (2342 ± 184 pg/ml) and subclinical cases (1773 ± 118 pg/ml) than healthy controls (461 ± 57 pg/ml). Moreover, statistical analyses further indicated that sTLT1 was not only associated with common risk factors for Coronary Artery Disease (CAD) in both clinical and subclinical groups but also strongly correlated with disease severity. Ex vivo studies on macrophages showed that sTLT1 interacts with Fcɣ receptor I (FcɣRI) to activate spleen tyrosine kinase (SYK)-mediated downstream MAP kinase signalling cascade to activate nuclear factor-κ B (NF-kB). Activation of NF-kB induces secretion of tumour necrosis factor-α (TNF-α) from macrophage cells that plays pivotal role in governing the persistence of chronic inflammation. Atherosclerotic apoE−/− mice also showed high levels of sTLT1 and TNF-α in nearly occluded aortic stage indicating the contribution of sTLT1 in inflammation. Our results clearly demonstrate that sTLT1 is clinically related to the risk factors of CAD. We also showed that binding of sTLT1 with macrophage membrane receptor, FcɣR1 initiates inflammatory signals in macrophages suggesting its critical role in thrombus development and atherosclerosis.


2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.


2010 ◽  
Vol 20 (3) ◽  
pp. 76-83 ◽  
Author(s):  
Joseph Donaher ◽  
Tom Gurrister ◽  
Irving Wollman ◽  
Tim Mackesey ◽  
Michelle L. Burnett

Parents of children who stutter and adults who stutter frequently ask speech-language pathologists to predict whether or not therapy will work. Even though research has explored risk-factors related to persistent stuttering, there remains no way to determine how an individual will react to a specific therapy program. This paper presents various clinicians’answers to the question, “What do you tell parents or adults who stutter when they ask about cure rates, outcomes, and therapy efficacy?”


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