Novel Open Source Python Neutrosophic Package

Neutrosophic sets has gained wide popularity and acceptance in both academia and industry. Different fields have successfully adopted and utilized neutrosophic sets. However, there is no open-source implementation that provides the basic neutrosophic concepts. Open-source is a global movement that enables developers to share their source-code, as researchers do share their research ideas and results. Presented Open-source python neutrosophic package is the first of its kind. It utilizes object oriented concepts. It is based on one of the most popular multiparadigm programming languages that is widely used in different academic and industry fields and activities; namely python. Presented package tends to dissolve the barriers and enable both researchers and developers to adopt neutrosophic sets and theory in research and applications. In this paper, the first Open-source, Object-Oriented, Python based Neutrosophic package is presented. This paper intensively scanned neutrosophic sets research attempting to reach the most widely accepted neutrosophic proofs, and then transforming them into source-code. Presented package implements most of the basic neutrosophic concepts. Presented neutrosophic package presents four different classes: Single Valued Neutrosophic Number, Single Valued Neutrosophic Sets, Interval Valued Neutrosophic Number, and Interval Valued Neutrosophic Sets

Introduction to Develop Some Software Programs for Dealing with Neutrosophic Sets

In this paper, we have developed an Excel package to be utilized for calculating neutrosophic data and analyze them. The use of object oriented programming techniques and concepts as they may apply to the design and development a new framework to implement neutrosophic data operations, the c# programming language, NET Framework and Microsoft Visual Studio are used to implement the neutrosophic classes. We have used Excel as it is a powerful tool that is widely accepted and used for statistical analysis. Figure 1 shows Class Diagram of the implemented package. Figure 2 presents a working example of the package interface calculating the complement. Our implemented Neutrosophic package can calculate Intersection, Union, and Complement of the nuetrosophic set. Figure 3 presents our neutrosphic package capability to draw figures of presented neutrosphic set. Figure 4 presents charting of Union operation calculation, and figure 5 Intersection Operation. nuetrosophic set are characterized by its efficiency as it takes into consideration the three data items: True, Intermediate, and False

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

Implementation of Cloud-based Virtual Labs for Educational Purposes

Summary Cloud computing is used to provide users with computer resources on-demand any time over the Internet. eLearning systems usually require many hardware and software resources. There are numerous educational institutions that cannot afford such investments, and cloud computing is the best solution for them. For educational purposes lecturers and researchers can leverage cloud computing to enhance their e-learning experience. The main objective of this paper is to present how the cloud computing provides on-demand virtual desktops for problem solving, on-demand virtual labs for special courses. The focus is how cloud services can be used, how they can be integrated into the existing infrastructure, and how new didactic models could look. The proposed solution helps in significant savings when compared to the cost of physical infrastructure procurement and maintenance for the user institution as well as the entire science and higher learning community

Neutrosophic Multi-Criteria Decision Making Approach for IoT-Based Enterprises

Internet of Things (IoT) connects billion of devices to afford inventive opportunities between things and people. The rapid development of products related to IoT is a new challenge to keep security issues, lack of confidence, and understanding of IoT. Analytical hierarchy process (AHP) is a classic multi criteria decision making (MCDM) method used to analyze and scale complex problems and to obtain weights for the selected criteria. The vague and inconsistent information in real situations can lead to decision maker's confusion

A middle layer solution to support ACID properties for NoSQL databases

The main objective of this paper is to keep the strengths of RDBMSs as consistency and ACID properties and at the same time providing the benefits that inspired the NoSQL movement through a middle layer. The proposed middle layer uses a four phase commit protocol to ensure: the use of recent data, the use of the Pessimistic technique to forbid others dealing with data while it is used and the data updates residing in many locations to avoid the loss of data and disappointment. This mechanism is required, especially in distributed database application NoSQL based environment, because allowing conflicting transactions to continue not only wastes constrained computing power and decreases bandwidth, but also exacerbates conflicts. The middle layer keeps tracking all running transactions and manages with other layers the execution of concurrent transactions. This solution will help increase both of the scalability, and throughput. Finally, the experimental results show that the throughput of the system improves on increasing the number of middle layers in scenarios and the amount of updates to read in a transaction increases. Also the data are consistent with executing many transactions related to each other through updating the same data. The scalability and availability of the system is not affected while ensuring strict consistency

An Integrated Neutrosophic-TOPSIS Approach and Its Application to Personnel Selection:A New Trend in Brain Processing and Analysis

Personnel selection is a critical obstacle that influences the success of the enterprise. The complexity of personnel selection is to determine efficiently the proper applicantion to fulfill enterpriserequirements. The decision makers do their best to match enterprise requirements with the most suitable applicant. Unfortunately, the numerous criterions, alternatives, and goals make the process of choosing among several applicants is very complex and confusing to decision making