scholarly journals Pandemic risk: operational aspects

2020 ◽  
Vol 3 (2020) ◽  
pp. 29-32
Author(s):  
Camilla Bello ◽  
◽  
Stefano Desando ◽  
Veruska Orio ◽  
Paolo Giudici ◽  
...  

At the beginning of the COVID-19 pandemic, Intesa Sanpaolo has developed a contagion model aimed at calibrating the measures to be taken to safeguard its employees and the provision of banking services, according to the risk deriving from the external environment. The model is based on both external and internal views: the combination of such elements provides a holistic picture of the overall contagion risk level, enabling the opportunity to take informed decisions for each geographical area. One of the most useful external indicators to feed the model is the reproduction index (Rt) provided by the University of Pavia which is calculated using the Poisson autoregressive (PAR) model. Though more research and development are needed, the proposed model represents a useful tool for supporting the Top Managers in the decision process to continue business as usual safely.

Author(s):  
Olga Mikhaylovna Tikhonova ◽  
Alexander Fedorovich Rezchikov ◽  
Vladimir Andreevich Ivashchenko ◽  
Vadim Alekseevich Kushnikov

The paper presents the system of predicting the indicators of accreditation of technical universities based on J. Forrester mechanism of system dynamics. According to analysis of cause-and-effect relationships between selected variables of the system (indicators of accreditation of the university) there was built the oriented graph. The complex of mathematical models developed to control the quality of training engineers in Russian higher educational institutions is based on this graph. The article presents an algorithm for constructing a model using one of the simulated variables as an example. The model is a system of non-linear differential equations, the modelling characteristics of the educational process being determined according to the solution of this system. The proposed algorithm for calculating these indicators is based on the system dynamics model and the regression model. The mathematical model is constructed on the basis of the model of system dynamics, which is further tested for compliance with real data using the regression model. The regression model is built on the available statistical data accumulated during the period of the university's work. The proposed approach is aimed at solving complex problems of managing the educational process in universities. The structure of the proposed model repeats the structure of cause-effect relationships in the system, and also provides the person responsible for managing quality control with the ability to quickly and adequately assess the performance of the system.


2021 ◽  
Vol 11 (6) ◽  
pp. 300
Author(s):  
Elisabetta Sagone ◽  
Maria Luisa Indiana

In this paper decision-making styles, locus of control, and average grades in exams are examined as correlates of procrastination in a sample of 185 university students (mainly female students) recruited from mandatory courses for degrees in psychology and pedagogy at the University of Catania (Italy). Method: We used the Decisional Procrastination Scale (Ferrari, Johnson, & McCown, 1995), consisting of five Likert-type items useful for analyzing the procrastination; the Decision-Making Styles (Di Nuovo & Magnano, 2013), chosen for measuring the doubtfulness, delay, proxy, and no problem styles with 15 Likert-type items; the Locus of Control of Behavior Scale (Craig, Franklin, & Andrews, 1984) used to evaluate internal and external loci of control. The data were gathered through an online anonymous questionnaire and were analyzed using the multiple linear regression model to assess how styles of decision-making, locus of control, and average grades in exams affect the decision to procrastinate in university students. The main findings of this study indicate that doubtfulness and delay decision-making styles correlate with high decisional procrastination together with low average grades at university exams. Locus of control is excluded by the proposed model. Conclusions: These findings suggest pursuing a deeper investigation of the various types of procrastination and the measures used for analyzing the academic achievement in university students.


2019 ◽  
Vol 15 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Wiliam Acar ◽  
Rami al-Gharaibeh

Practical applications of knowledge management are hindered by a lack of linkage between the accepted data-information-knowledge hierarchy with using pragmatic approaches. Specifically, the authors seek to clarify the use of the tacit-explicit dichotomy with a deductive synthesis of complementary concepts. The authors review appropriate segments of the KM/OL literature with an emphasis on the SECI model of Nonaka and Takeuchi. Looking beyond equating the sharing of knowledge with mere socialization, the authors deduce from more recent developments a knowledge creation, nurturing and control framework. Based on a cyclic and upward-spiraling data-information-knowledge structure, the authors' proposed model affords top managers and their consultants opportunities for capturing, debating and storing richer information – as well as monitoring their progress and controlling their learning process.


Author(s):  
Lama Nazim Al-Droubi

The aim of this research is to explore the most important features of interactive learning and its impact on the success of the educational process by discussing the educational methods used in the educational institutions and presenting the most important problems observed by students and teachers in the traditional educational process, In the educational institutions, and then try to explore the weakness of the educational process in which students find it difficult to education, by asking a questionnaire directed to different segments of the students were randomly selected from some of the university Which showed the need for students to introduce modern methods in education to increase the effectiveness of education and access to the ability to communicate more with teachers, so we have looked at the most important techniques that entered the educational process (electronic board, Which led to the transformation of the teaching process from its traditional form to interactive e-learning. Thus, relying on MVC technology, we introduced a reliable e-learning model to help interact between the learning process Taking into account the results of the questionnaire we have presented in advance. This model helps to standardize the various e-learning systems as a general framework that can be applied in different languages Software, and can handle various end-user operating platforms such as mobile phones with their various systems, computers, tablets and others.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
James Richards ◽  
Vaughan Ellis

PurposeA retrospective action-research case study of one branch of the University and College Union (UCU) is used to show how threshold requirements of the Act can be systematically beaten.Design/methodology/approachThe paper responds to calls for “best practice” on how trade unions may react to member voting threshold requirements of the Trade Union Act 2016 (the Act). A broader aim is to make a theoretical contribution related to trade union organising and tactics in “get the vote out” (GTVO) industrial action organising campaigns.FindingsFindings are presented as a lead organiser's first-hand account of a successful GTVO campaign contextualised in relation to theories of organising. The findings offer “best practice” for union organisers required to beat the Act's voting thresholds and also contribute to theories surrounding trade union organising tactics.Research limitations/implicationsFurther development and adaptation of the proposed model may be required when applied to larger bargaining units and different organising contexts.Practical implicationsThe findings can inform the organising practices/tactics of trade unions in relation to statutory ballots. The findings also allow Human Resource (HR) practitioners to reflect on their approach to dealing with unions capable of mounting successful GTVO campaigns.Social implicationsThe findings have the potential to collectively empower workers, via their trade unions, to defend and further their interests in a post-financial crisis context and in the shadow of the Covid-19 pandemic.Originality/valueThis is the first known empirical account of organising to exceed voting thresholds of the Act, providing practical steps for union organisers in planning for statutory ballots. Further value lies in the paper's use of a novel first-hand account of a GTVO campaign, offering a new and first, theoretical model of organising tactics to beat the Act.


Author(s):  
Pritpal Singh

Forecasting using fuzzy time series has been applied in several areas including forecasting university enrollments, sales, road accidents, financial forecasting, weather forecasting, etc. Recently, many researchers have paid attention to apply fuzzy time series in time series forecasting problems. In this paper, we present a new model to forecast the enrollments in the University of Alabama and the daily average temperature in Taipei, based on one-factor fuzzy time series. In this model, a new frequency based clustering technique is employed for partitioning the time series data sets into different intervals. For defuzzification function, two new principles are also incorporated in this model. In case of enrollments as well daily temperature forecasting, proposed model exhibits very small error rate.


2011 ◽  
Vol 5 (4) ◽  
pp. 8-30
Author(s):  
O. T. Arogundade ◽  
A. T. Akinwale ◽  
Z. Jin ◽  
X. G. Yang

This paper proposes an enhanced use-misuse case model that allows both safety and security requirements to be captured during requirements elicitation. The proposed model extends the concept of misuse case by incorporating vulnerable use case and abuse case notations and relations that allows understanding and modeling different attackers and abusers behaviors during early stage of system development life cycle and finishes with a practical consistent combined model for engineering safety and security requirements.The model was successfully applied using health care information system gathered through the university of Kansas HISPC project. The authors were able to capture both security and safety requirements necessary for effective functioning of the system. In order to enhance the integration of the proposed model into risk analysis, the authors give both textual and detailed description of the model. The authors compare the proposed approach with other existing methods that identify and analyze safety and security requirements and discovered that it captures more security and safety threats.


2019 ◽  
Vol 113 ◽  
pp. 03009
Author(s):  
Enrico Bianchi ◽  
Stefano Bracco ◽  
Fabio Cannizzaro ◽  
Federico Delfino ◽  
Alessandro Giacchino

The aim of this paper is that of proposing a methodology on how to design a microgrid for an industrial area. In particular, the paper reports the description of a project, jointly developed by the University of Genoa and Ansaldo Energia SpA, to design a polygeneration microgrid for the industrial site of Ansaldo Energia company in the Metropolitan City of Genoa. The microgrid infrastructure integrates different technologies to satisfy the electrical, thermal and cooling demand of the site, among which an important role is played by the cogeneration AE T100 microturbines developed by the company. In the paper, the optimization tool AEN-MGD, developed to optimally design and operate the microgrid, is described and different possible configurations of the microgrid are investigated and analysed from the technical, economic and environmental point of view. The proposed model has a general validity and it can be used to design and operate other similar energy infrastructures.


1997 ◽  
Vol 17 (3) ◽  
pp. 273-278 ◽  
Author(s):  
Rajnish Mehrotra ◽  
Ramesh Khanna ◽  
Thomas C.K. Yang ◽  
Pranay Kathuria ◽  
Harold L. Moore ◽  
...  

Objectives Since the introduction of the peritoneal equilibration test (PET), the 4-hour dialysatelplasma creatinine (DIP Cr) has been used by several authors for determining continuous ambulatory peritoneal dialysis (CAPD) prescriptions. However, the results have been unsatisfactory because the 4-hr DIP Cr does not accurately reflect the DIP Cr in 24-hr collections. The PET and the 24-hr dialysate collections differ in the duration of dwell and the tonicity and volume of dialysate, all of which influence the equilibrated DIP Cr. It can be assumed that the DIP Cr in 24-hr collections in these patients is closer to a 6-hr DIP Cr. Because a 6hr PET is inconvenient, we developed a mathematical model to calculate the 5 and 6-hr DIP using the results of a standard PET. Design In a retrospective analysis, DIP Cr ratios in 24-hr collections and DIP Cr ratios calculated from a mathematical formula were correlated. Using a mathematical model, the data collected fit an exponential relation of the type DIP = a(1 -e-t/τ). The values of a and τ are unique for a given patient and were determined using a nonlinear regression technique. The formula performed well on our published data -the true and predicted 6-hr DIP Cr being 0.696 and 0.71, respectively. Setting The University Hospital and Clinics, Dalton Cardiovascular Research Center and Dialysis Clinic, Inc., Columbia, Missouri. Patients All CAPD patients on four 2-L exchangeslday at the time of the 24-hr collections were included. Interventions None. Main Outcome Measures Closeness of 4-hr and 6-hr DIP Cr values to those of 24-hr ratios. Results The study group comprised 74 patients (age, mean ± SEM: 56.4 ± 1.8 yr) with 80 PETs and 145 (24-hr) collections. The interval between the two tests was 8. 3 ± 0.9 months (0 48.7 months). The median 24-hr DIP Cr of 0.760 did not differ significantly from the predicted median 6-hr DIP Cr of 0.755. A subgroup analysis, based on transport type, showed that this relationship was most precise in the high-average transporters. The predicted 6hr DIP Cr was within 100;0 of the 24-hr DIP Cr in 48% of patients and within 20% in 77% of patients. The margin of error was greatest in the low transporters. Conclusions To conclude, the 4-hr DIP Cr from a PET cannot be used interchangeably with the DIP Cr in the 24-hr dialysate collections, hence, the clearances calculated thereof will be inaccurate. Using the proposed model, it is feasible to use the 4 -hr PET results to obtain 5 and 6 -hr DIP Cr values. In our study, using this model, the extrapolated 6-hr DIP Cr is similar to the DIP Cr in 24-hr dialysate collections only in the high-average transporters. Hence, the best way to determine clearances in peritoneal dialysis patients is still by collecting 24-hr dialysates.


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