Process Of Making Decisions Research Articles

Simulation of a solar cooling system

. In this technical and economical analysis of a building air-conditioning system, the main goal is to analyse what variables have effect on the system. To obtain the wanted temperature in the room we work, it is necessary to overcome the external conditions of temperature and radiation. However, this external conditions depend on the geographical situation, they change constantly and it is obvious that engineers cannot have an influence on current weather conditions during the making decision process. For all these reasons, once the architectural design of a building is decided, the engineer can only take decisions regarding some parameters like area of solar collectors , storage tank volume and input temperature of the absorption chiller. This article focusses on the execution of simulations in the aim of determining the optimun value of these parameters, paying attention to technical and economical goals.

Reliability engineering opportunities in Industry 4.0

Industry 4.0 is based on the internet of things, this means, that in industries or companies the value chain, including processes, products, hardware, and software, among others, exists the necessity to implement new knowledge technologies to implement and control Industry 4.0 interactions, in other words, with the advantages of industry 4.0 such as the used of real-time data, big data, blockchain, human-machine interaction, cyber-systems, among others, the electronic devices that allowed this interaction and electronic data interchange centralize, need to be in the highest possible reliability perform, aiming to be able to carry out all these activities safely and effectively. In this research, the objective is to introduce some general advantages of Industry 4.0 and how reliability engineering is an important ally in the performance of the functions of Industry 4.0. Then, this manuscript presents the necessary knowledge and applications of reliability engineering that can be implemented in Industry 4.0 as stress-strength analysis in the case of equal shape parameters βs =βS; stress-strength analysis βs ≠ βS; Nonnormal capability index and Weibull Capability index, by using Weibull++ Software and mathematical procedure. Another target of this research is to demonstrate that by using reliability engineering it is possible to have better control in such a way that efficiency and productivity stay and even can increases. Also, reliability engineering represents security and stable processes. Finally, with the merging of Industry 4.0 and reliability engineering, the making decision process is more reliable decision-making.

Relevansi Nilai Aset Dan Liabilitas Pajak Tangguhan

One of the accounting information that holds a major role for stakeholders is earnings information since it is considered could measure companies’ performance. However, the 2008 global economy crisis causes the earnings information became irrelevant to assess operational companies’ performance. This condition urges the investors to use other information, that is deferred tax information. Therefore, this research aims to test the effect of deferred tax assets and liabilities on stock prices. PSAK 46 states that deferred tax information denotes deferred tax income recoverable and income tax payable in the future which have to be presented in balance sheet. Deferred tax asset information is depicted to reflect a positive value in future company’s cash flow for the tax expense reduction, meanwhile deferred tax liabilities information reflects a negative value in future company’s cash flow because of the tax obligations that will arise in the future. The object of this research is manufacturing companies listed on Indonesia Stock Exchange in the 2011 – 2020 period. This research is using the judgment sampling method, consisting of 400 observation data. The coefficient determination shows that the dependent variable can be explained by the independent and control variables in the amount of 62%. Individually, the result of this research is that deferred tax assets have a significant positive effect on stock price, otherwise deferred tax liabilities have a significant negative effect. As a result, this study concludes that deferred tax assets and deferred tax liabilities have value relevance and this information can be used as a consideration by the investors in the making decision process.

Prioritizing severity level of COVID-19 using correlation coefficient and intuitionistic fuzzy logic.

During the peak of COVID-19 pandemic crisis in 2020 and 2021, with limited medical resources and surge in Covid cases in every hospital and clinic, identifying the most vulnerable patient requiring immediate critical treatment was a great challenge for the medical practitioners. And if such a patient suffers from multiple ailments, his/her condition may deteriorate rapidly if proper treatment is delayed any further. In this paper, we used a novel method which supports medical care units in identifying the patients who need urgent medical treatment. We used Gerstenkorn and Manko correlation coefficient and the intuitionistic fuzzy sets to classify such patients, who should be given the highest priority to start the treatment first. The role of this correlation measurement is very vital in any decision-making process. An intuitionistic fuzzy set (IFS) handles uncertainty, vagueness, ambiguity etc. present in the data and helps in making decision process more realistic. Combining the correlation coefficient with the Intuitionistic fuzzy set makes the decision making process more easy, accurate and reliable. We used COVID-19 dataset which maintains early-stage symptoms of COVID-19 patients, and is publicly available. We applied correlation coefficient and IFS to predict the severity level of the COVID-19 cases by establishing the relationship between the patient and the ailments a COVID-19 patient is suffering from.

Využitie metody AHP v rozhodovacom procese výberu kandidáta

For employee selection there are loads of methods could be used in making decision process by a HR manager. To demonstrate one of many methods in making decision process we chose AHP method. We integrated this method into first and second employee selection. First, we define recruitment process so as to know where we can implement AHP method into employee selection and beyond, raising the questions that we must define some appropriate criteria and determine local and global weights. Second, we found out that integrate this method into making decision process can be useful for a personal manger in order to choose the best candida, but final decision could not be made only based on this method, to some extent, personal manager has to choose a candidate based upon overall picture candidates and views another manager.

Family Business Adapting a New Digital-Based Economy: Opportunities and Challenges for Future Research

Firms need to transform dramatically to maintain their operations and survive. The pandemic has shown how family businesses (FBs) are solving complex problems faster than non-family. They have demonstrated the flexibility to transform and adapt because of their closeness to the firm’s processes and management and their social network inside and outside organizations that allow them to respond quickly to market needs based on a fast-making decisions process. FBs’ knowledge, which is embedded in their values, making decisions process, and remaining for generations, requires resilient and robust management. The relationship between family values and FB management differentiates by their complexity and generational aspect. These relations demonstrate that personal values can influence professionalization, succession, and innovation processes. In this regard, there is a lack of research to understand the findings, practices, and processes associated with managing the knowledge flows through which FBs execute innovation strategies and to build on professionalization and succession capabilities that could provide different avenues of innovation and adaptation for dealing with turbulent and uncertain times. This editorial intends to provoke discussion on what we know about family businesses and how they face different challenges in a complex world to survive. FBs must develop adaptive strategies and strengthen crucial processes to generate a competitive and sustainable advantage. Knowledge management provides models and tools to reinforce tacit knowledge management’s relevance in the professionalization and succession processes. Knowledge management becomes critical in an era in which uncertainty seems to be permanent.

A Review on Big Data Stream Processing Applications: Contributions, Benefits, and Limitations

The amount of data in our world has been rapidly keep growing from time to time. Â In the era of big data, the efficient processing and analysis of big data using machine learning algorithm is highly required, especially when the data comes in form of streams. There is no doubt that big data has become an important source of information and knowledge in making decision process. Nevertheless, dealing with this kind of data comes with great difficulties; thus, several techniques have been used in analyzing the data in the form of streams. Many techniques have been proposed and studied to handle big data and give decisions based on off-line batch analysis. Today, we need to make a constructive decision based on online streaming data analysis. Many researchers in recent years proposed some different kind of frameworks for processing the big data streaming. In this work, we explore and present in detail some of the recent achievements in big data streaming in term of contributions, benefits, and limitations. As well as some of recent platforms suitable to be used for big data streaming analytics. Moreover, we also highlight several issues that will be faced in big data stream processing. In conclusion, it is hoped that this study will assist the researchers in choosing the best and suitable framework for big data streaming projects.

Adaptation and validation of the Ethical Conflict Nursing Questionnaire-Critical Care Version to Italian language.

Background and aim of the work Ethical conflict in Intensive Care Unit (ICU) can lead to poor quality health care and attention. Knowing the level of exposure to ethical conflict in health professionals allows to design strategies for improve the ethical environments and making decisions process. To study ethical conflict in health professionals it is necessary to have valid and reliable instruments that can be applied to different health and cultural contexts. No tool existed in Italian context still now. Therefore, the aim of this study was to adapt and validate the Ethical Conflict Nursing Questionnaire-Critical Care Version to the Italian sociocultural context. Methods This is a two-phase psychometric study, including one translation-back-translation phase, and an analysis phase for determining the content and construct validity, by means respectively Content Validity Index, Principal Component Analysis (PCA) and Confirmatory Factor Analysis(CFA), and reliability of the instrument, by means Cronbach's α calculation. Results The sample included 286 nurses from critical care units of four hospitals in (deleted for review) (Italy). Translation-back-translation phase was successful. A Content Validity Index of 95.39 was obtained. The overall Cronbach's α value was 0.866. When an item was eliminated, this value oscillated between 0.871 and 0.881. As the original tool, Principal Component Analysis (PCA) and Confirmatory Factor Analysis (CFA) confirmed a single factor capable of explaining more than 30% of the variance. Conclusions The ECNQ-CCV Italian version is a valid and reliable instrument for measuring the exposure of ICU nursing professionals to ethical conflict.

Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period

This work aimed to quantify and relate goat milk production and the Normalized Difference of Vegetation Index of the semiarid Chaco forest and the monthly average precipitation along the 2016-2018 period. The work was carried out in El Polear, in Santiago del Estero, Argentina. Even though the NDVI of the forest and its lower strata biomass productivity were affected by drought, its milk production curve remained unaffected. This may be due to the forest stability resulting from the deep rooted trees that includes, to the strategic displacement of the phenophase in its lower strata (broadleaves, herbaceous) in drought seasons and the adaptation to the changes in the goat diet selectivity before forage fluctuations. Winter NDVI peaks should be considered for new lines of research on their contribution to the energetic reserves of the goat component at the beginning of winter. Significant straight relationships (p<0.05) were found between the average goat milk production and the average monthly precipitation (r=0.64) as well as the NDVI and the semiarid Chaco forest (r=0.59). The resulting linear models involving goat milk production with both precipitation and NDVI had moderate and significant (p<0.05) explaining power (R2=0.41) and (R2=0.35), respectively. These models make the seasonal goat milk production predictable and the planning and the making decision process of both producers and the agroindustry easier.

Earnings Management. An overview of the relative literature

This article aims to present a critical overview of the traditional studies in earnings management, focusing on the impact on the making decision process. This overview in the literature provides numerous aspects of this topic, in line with the firms’ motivations. Earnings management procedure includes smoothing and opportunistic practices and illustrating accounting rules with a significant effect on accounting information quality. Several researchers have shifted their attention to real activities as a primary method or supplementary to accrual-based methods to obtain a complete view of the earnings management levels. Earnings management is considered an opportunistic instrument, and it can be part of the aggregate long-term business strategy. This review study provides some guidelines, to academics and professionals, in line with the models and the motivations that lead managers to engage in this procedure. This overview creates new research avenues enhancing the existing knowledge.

Clustering Proposal Support for the COVID-19 Making Decision Process in a Data Demanding Scenario

The COVID-19 disease surprised the world in the last months due to the number of infections and deaths have been increased in an exponential way. Since the pandemic was established by the World Health Organization, different strategies have been proposed for dealing diverse problems in cities that the coronavirus affected. This work presents a method to decision making support processes, specifically in environment with few data and variables to be considered. Thus, artificial neural networks architectures were employed to cluster the information available in the Bogota city, and provide a tool that allows generating additional findings in a simultaneous mode, and expressed as a visual map. The present proposal reached sensitivity measures around 75%, obtaining 100% for the best cases.

Impact of pulmonary valve replacement on ventricular arrhythmias in patients with tetralogy of Fallot

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): INSERM - French Society of Cardiology OnBehalf DAIT4F Investigators Background Sudden cardiac death is a major cause of death in tetralogy of Fallot (TOF) and right ventricular overload is commonly considered as a potential trigger for ventricular arrhythmias. Purpose We aimed to assess the impact of pulmonary valve replacement (PVR) on ventricular arrhythmias burden using a population of TOF patients with continuous cardiac monitoring by implantable cardioverter defibrillator (ICD). Methods Nationwide French registry including all TOF patients with an ICD. Survival data with recurrent events were used to compare the burden of appropriate ICD therapies before and after PVR in patients who underwent PVR over the study period. Results A total of 165 patients (mean age 42.2 ± 13.3 years, 70.1% males) were included from 40 centers. Over a median (IQR) follow-up period of 6.8 (2.5-11.4) years, 26 (15.8%) patients underwent PVR. Among those patients, 18 (69.2%) experienced at least one appropriate ICD therapy. When considering all ICD therapies delivered before (n = 62) and after (n = 16) PVR, the burden of ICD appropriate therapies was significantly lower after PVR (HR 0.21, 95%CI 0.08-0.56, p = 0.002). In the overall cohort, PVR before ICD implantation was also independently associated with a lower risk of appropriate ICD therapy in primary prevention patients (HR 0.29, 95%CI 0.10-0.89, p = 0.031). Conclusions In this cohort of high-risk TOF patients implanted with an ICD, the burden of appropriate ICD therapies was significantly reduced after PVR. While optimal indications and timing for PVR are debated, these findings suggest the importance of considering ventricular arrhythmias in the overall making-decision process. Abstract Figure.

Improving the centrifugal compressor map through rigorous thermodynamic modeling: An analysis on a natural gas compression station pipeline

This work proposes a way to describe the centrifugal compressor map for natural gas pipelines, aiming to apply it on a network online simulation. It updates the NASA shock loss theory by considering compressible flow inside the compressor governed by equations of state for real gases both to estimate the energy losses and to obtain the compressor map more accurately. Besides that, such a methodology can be used for any mixture of natural gas and compression systems. The simulations show that the proposed approach has a significant impact on the compressor map with a deviation of up 1.1 MPa, especially a displacement in the surge line, which delimits a larger unstable region than the conventionally unmodified approach. Moreover, the proposed corrections prove to be significantly crucial on the compression station of natural gas pipelines. The results allow evaluating the aptitude of the compressor for a natural gas pipeline and proving the reduction of operational costs obtained from the proposed approach. The simulations also show a mismatch of up 13.6% of energy consumption between the proposed description and the non-updated model, which implies that the proposed rigorous modeling proves to be quite adequate in the making-decision process.

Decision Support System Using Fuzzy Logic Method of Tahani Model for Student Selection

Tahani model of fuzzy database is one of the methods used for the making decision process. On this occasion, the researcher used the fuzzy database tahani model to build a DSS for the selection of new candidate students at the SMP Taman Siswa Kisaran. SMP is junior high school. This system was built to recommend to principals about new candidate students who are eligible to be accepted. Some of the main variables that form the basis of calculation, namely the average elementary school diploma, including Mathematic score, Indonesian Language score, and Pancasila Education score. The Other variables are Academic Test score and Religious Education Test score. The result of the system recommendations is based on the value of membership and fire strength from the calculation process in the system. To ensure the feasibility of the system, testing the result of the system calculations and comparing them with the results of calculations manually. If the result of the system calculation is the same as the result of the manual calculation, then the decision support system for the selection of new candidate students is feasible to be applied at the SMP Taman Siswa Kisaran.

Buddhist Making Decision Model of Primary School Administrators in Socialist Republic of Vietnam

The objectives of this research are 1) to study the current state of decision-making of primary school administrators, 2) to study methods for developing Buddhist making decision of primary school administrators, 3) to propose a making decision model based on Buddhist principles of primary school administrators in The Socialist Republic of Vietnam. Mixed methods research has been used for research design. Quantitative research has used a population of 629 people, and qualitative data has been collected by interviewing 10 key informants and focus group discussion participated by 10 experts. Research results indicated that the current state of making decision of primary school administrators overall, administrators and teachers have opinions at a high level. In descending order is management seeks to understand the problems that arise in the administration, be able to analyze and correctly identify problems, and listen to the opinions of all participants to analyze the best options and decide on the best solution, putting the decisions into practice and evaluate them further. Methods for developing decisions according to the Buddhist principles of the executives indicated 5 making decision steps: 1) problem definition, 2) education, alternative approach, 3) selection of alternatives, 4) alternative compliance, 5) evaluation and correction of defects. A Buddhist making decision model of primary school administrators, in The Socialist Republic of Vietnam consists of 4 parts: Part 1 the lead part is the environment, both inside and outside the school, Part 2 the model consists of a work system, which is a 5-step making decision process namely, making decisions, knowledgeable, competent personnel with principles by integrating with the four Noble Truths, knowing the problem, knowing the root cause of the problem. Part 3, knowing how to solve problems and follow the correct solution. Part 4, conditions for success which depends on the context of management decisions.

Implementation of Simple Additive Weighting (SAW) Method and Profile Matching for Employee Selection

Employees are an important element in a company that determines the progress of a company. With good quality employees in a company, it is easier to achieve desired goals of a company. Conventional (manual) recruitment method is vulnerable to non-technical factors such as frequent duplicate data or invalid data. In such condition, a Decision Support System (DSS) will be helpful in making decision process valid and reliable. In this paper, a Simple Addictive Weighting (SAW) method and Profile Matching were proposed to solve employee selection problem. This research was conducted at UPT Career Development and Entrepreneurship Universitas Brawijaya Malang, using data collected from written test selection in 2019. The effectiveness of both methods is analyzed by means of confusion matrix. SAW method give Accuracy rate of 94.7%, Precision rate of 87.5%, Recall rate of 91.3% and F-measure rate of 89.4%. On the other hand, Profile Matching method obtained the Accuracy rate of 90.4.7%, Precision rate of 81.4%, Recall rate of 81.4% and F-measure rate of 81.4%. From these results, it can be concluded that both methods have a high accuracy value accompanied by a high precision value when used for the selection process. This system can also reduce the bias of the same data very well, as can be seen from the high Recall and F-measure rates.

National registry of haemophilia and other coagulopathies: A multisector initiative in the Colombian Health System.

Haemophilia is an orphan and high-cost disease worldwide and, especially in middle-income countries as Colombia. Given its burden of disease, in 2014, a national administrative registry was created to centralize demographic, clinical and economic information regarding to haemophilia and other coagulopathies. To describe the building and implementation processes of the Colombian registry of haemophilia and other coagulopathies. The 'consensus conference' methodology was used to design the registry. It was a multisector process, which included different actors of the health system (healthcare payers and providers, government institutions, academic and scientific organizations and patients). Colombia's national registry includes 95 variables, grouped in four sections: (1) sociodemographic data, (2) clinical condition, (3) economic costs, and (4) administrative updates. According to a resolution, stated by the Ministry of Health, payers and providers of healthcare must report annually to the registry the information of new and existing patients with coagulopathies. A national registry serves as an organized and interactive system for monitoring morbidity and mortality, assessing healthcare access and its impact on disease complications, as well as associated costs to medical assistance. Furthermore, registry information can guide a rational making decision process to use economic resources efficiently. On the other hand, data about orphan diseases can encourage health research and evidence-based care to improve quality of life and reduce associated disability.

Federative relation and the process of regionalization in Brazil: strength to resist

Abstract The federative relation is an essential tool to face the current challenges in Brazil and defends the public health system, threatened by measures of totalitarianism and individualism. Some of the barriers to promote an effective federative relation on the regional territories based on collective action are the devaluation of the deliberation spaces, the verticalization in making-decision process and marks of submission on federative relation. In this sense, one of the most important factors to structure democratic spaces is the regionalization, what subsidizes the construction of a regional identity, through dialogical strategies. In order to consolidate the regionalization, is important to characterize and apply instruments and strategies of negotiation, agreement and cooperative relations, by the entities. This study aims to identify and understand cooperation strategies, if present or potential on the counties of region practices and propose its sharing and implementation between them. The research has a qualitative, exploratory and interventional approach and it was submitted to the ethics committee approval process. The methodology way contemplates the collect of dates by questionnaires applied during a sixty-hour extension course. The participants are counties managers and supporters of their teams from the five regions of health on the north of the state of Parana, organized on small groups. After this, some individuals are invited for complementary interviews with semi-structured scripts. The adopted methodology for the analysis of the results is the discourse analysis. After identified and categorized the initiatives, they are shared among the participants through some workshops. In this way, the expected results of the study is to allow the strengthening of regionalization process in the territories and contribute for the establishment of a new order on the federative relation, boosting a democratic process of decision-making, cooperation and solidarity. Key messages The current challenges in political scenario on Brazilian health system requires new strategies to boost a democratic, cooperative e solidary process of decision-making and federative relation. One of the most important factors to structure democratic spaces on Brazil is the regionalization, which can be strengthened by federative relation based on cooperation and solidariety.

The domus domini imperatoris Apicii built by Frederick II along the Ancient Via Appia (southern Italy): An example of damage diagnosis for a Medieval monument in rural environment

A stratigraphic analysis applied to the architectural remains of the medieval domus Apicii (Calvi, Benevento) allowed to define four main building periods characterized by different materials and masonry techniques. Intense biological colonization and other damage pathologies affect the building geomaterials. A quantitative evaluation of the conservation state of the monument accounts for a moderate to a very severe damage, with a progressive damage index (DIprog) up to 3.3 value.The results of this multidisciplinary investigation represent an important starting point for an ethically acceptable making-decision process within a modern restoration and conservation of the monument.

μ𝜃-EGF: A New Multi-Thread and Nature-Inspired Algorithm for the Packing Problem

In this paper, the authors present a new algorithm efficient solution to the packing problem in two dimensions. The authors propose a new heuristic using the value of the electromagnetic field to determine the best position to place a circular object in a configuration of other circular objects previously packed. Also, this algorithm simulates two processes to compact objects already placed, inspired by gravitational forces, to minimize the empty space in the container and maximizing the number of objects in the container. To determine the efficacy of this algorithm, the authors carried out experiments with twenty-four instances. Parallel computing can contribute to making decision processes such as optimization and prediction more agile and faster. Real-time decision making involves the use of solution methodologies and algorithms. For this reason the present manuscript shows an alternative for the solution of a classic industry problem that must be solved quickly. Packaging optimization can help reduce waste of container material. The material used to transport the products can reduce its environmental impact due to an efficient packaging process. Light-weighting can also be accomplished by reducing the amount of packaging material used.