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Towards a National Strategy for Judicial Accountability: A Critical Review in Jordan

This paper examines the complex relationship between judicial accountability and judicial independence. In order to provide a framework for good governance in the Jordanian judiciary by identifying its main features and shortcomings in its work. The paper describes mechanisms for achieving accountability through various methods of judicial appointment and removal. But more important than these approaches, she says, is the idea of ensuring judicial accountability by insisting that judges are accountable to the law. The experience of the judiciary in Jordan over the past decades has clearly shown that the judicial administration needs a strategic vision based on efficiency, accountability, and integrity. The paper addresses in detail the challenges of judicial administration that need to be addressed through the implementation of a viable national strategy for judicial accountability

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Inas Alkhaldi mail
link https://doi.org/10.54216/IJPLIA.010103

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

The Regulation of the Investment in Crypto-Assets and its role in the growth of International Trade

This article discusses the importance of enacting a regulatory framework for investing in Crypto-Assets where the need for this arose after the advent of blockchain technology and the accompanying development, The volume of trading on cryptocurrencies has increased, and Non-fungible Tokens (NFTs) have become the focus of many investors in every country in the world and are sold for a huge price. Crypto-assets are attracting investors, especially because of their features such as encryption and ease of proof of ownership equally, many countries seek to invest in crypto-assets to ensure that they have an additional financial resource that increases the volume of GDP. Crypto-assets have also played an important role in international trade by facilitating trade financing operations. Crypto-assets have helped remove traditional barriers and eliminate risks that have hindered investors, and the international trade process is proceeding more smoothly and efficiently. During this time, it was necessary to examine and discuss how to enact regulatory frameworks for investing in crypto-assets, ensuring that people and countries make the best use of them, and also prevent money-laundering and terrorist financing that might accompany it.

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Mustafa G. Mustafa mail
link https://doi.org/10.54216/IJPLIA.010104

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Legal Argument of Liability of Air Carrier for Accidents of Air Terrorism

This paper reviews discusses the liability of the air carrier has a role in the security of the passengers in the shadow of the ramifying opinions about the legal basis and nature of such liability. This problem becomes worse in countries with no legislations on air transport. Therefore, liability for the accidents of air terrorism is established in accordance with the general rules of liability in a way that does not match with the nature of air transport and accidents connected with it. The question why is that is air carrier liable for the damages caused to the passengers because of the terrorist acts or not? The study appeals to the air carrier to be exempt from the liability for what might face the flight that he warns the passengers of the terrorist threats to which the flight might be exposed on condition that these threats are serious  

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Ahmed M. Aldabousi mail
link https://doi.org/10.54216/IJPLIA.010105

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Analyzing the Sustainability of Industry Affected in COVID-19 Pandemic Scenario Using Cosine Similarity Measure under SVPNS and PNN Model

COVID-19 outbreak is a reminder of the fact that the pandemics have happened in the past and will also occur in the future. The COVID-19 not only has affected the economy; but also it has affected the livelihood, which leads to the changes in businesses. This study aims to identify the most significant indicator (or parameter) that impacts the sustainability of industries. The study should also develop a real-time monitoring system for the sustainability of industries affected by COVID 19. In this work, the Polynomial Neural Network (PNN) and cosine similarity measure under SVPNS (Single-Valued Pentapartitioned Neutrosophic Set) environment have found their use in analyzing the sustainability of the industry.

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Priyanka Majumder mail -
Florentin Smarandache mail
link https://doi.org/10.54216/IJNS.190302

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

New Approach in Logarithmic Summability of Sequences in Neutrosophic Normed Spaces

We introduce logarithmic summability in Neutrosophic Normed Spaces [NNS] and give some Taubarian conditions for which logarithmic summability yields convergence in NNS. Besides we define the concept of slow oscillation with respect to logarithmic summability in NNS, Investigate its relation with the concept of q-boundedness and give Taubarian theorems by means of q-boundedness and slow oscillation with respect to logarithmic summability.  A comparison theorem between CesaroSummability method and logarithmic summability method in NNS is also proved in the paper.

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M. Jeyaraman mail -
P. Jenifer mail -
U. Praveena mail
link https://doi.org/10.54216/IJNS.190303

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

Neutrosophic BCK-algebra and Ω-BCK-algebra

In this paper, we study neutrosophic of one important types of algebra namely BCK-algebra.  Some new results of a generalization of BCK-algebra (Ω-BCK-algebra) have been introduced. Several facts about neutrosophic Ω-BCK-algebra are presented such as neutrosophic of homomorphic image and neutrosophic of kernel homomorphism.  Finally, some definitions, examples, and other properties of neutrosophic BCK-algebra and neutrosophic Ω-BCK-algebra are given.

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Saad H. Zail mail -
Majid Mohammed Abed mail -
Faisal AL-Sharqi mail
link https://doi.org/10.54216/IJNS.190301

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

The Neutrosophic Traveling Salesman problem with Neutrosophic EdgeWeight: Formulation and A Genetic Algorithm

The traveling salesman problem (TSP) is an important and well known classical combinatorial network optimization problem in operation research, where the TSP finds a shortest possible route through a set of n nodes such that each and every node are visited exactly one time except for the starting node. In this problem, the arc lengths are generally considered to represent the traveling time or travelling cost rather than geographical distance. It is not possible to predict the exact arc length because the traveling time or traveling cost fluctuated with payload, weather, traffic conditions and so on. neutrosophic set theory provides a new tool to handle the uncertainties in TSP. In this paper, we concentrate on TSP on a network in which neutrosophic set, Instead of real number is assigned to edge as edge weight. We propose a mathematical model for a TSP with neutrosophic arc lengths. We present the utility of neutrosophic sets as arc length for TSP. An algorithmic method based on Genetic Algorithm (GA) is proposed for solving this problem. We have designed a new heuristic crossover and heuristic mutation our proposed GA. We have used a numerical example to illustrate the effectiveness of our proposed algorithm.

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Arindam Dey mail -
Ranjan Kumar mail -
Said Broumi mail
link https://doi.org/10.54216/IJNS.190304

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

On neutrosophic αψ -supra open sets

Neutrosophic topological space is an extension of fuzzy topology. Neutrosophic topological space addresses each element’s membership, indeterminacy and non-membership grades. Dropping an axiom in the neutrosophic topological space produces a new topological space called neutrosophic supra topological space. Elements in this neutrosophic supra topology are neutrosophic sets. We established the neutrosophic αψ-supra open set in neutrosophic supra topological spaces in this paper. Also, we investigate the properties of the newly defined set. Neutrosophic αψ -supra continuity is introduced and studied subsequently.

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Mani Parimala mail -
Muthusamy Karthika mail -
Harish Garg mail -
Saeid Jafari mail -
Florentin Smarandache mail
link https://doi.org/10.54216/IJNS.190305

Volume & Issue

Vol. Volume 19 / Iss. Issue 3

Details open_in_new

An Analysis Framework to Study the Effects of Green Finance on Sustainable Smart Cities

Despite the fact that many countries around the world have adopted green growth as their strategy for economic development and those studies have investigated the factors that influence green growth from a variety of perspectives in sustainable smart cities, there is a paucity of literature that focuses on the impact that fintech and green finance have on green growth. This study attempts to design a complete index to assess the green growth of regional economies from the point of view of the development of fintech. The index will be based on an in-depth examination of the effect mechanism that green finance has on green growth. Additional study reveals that innovations in fintech mostly foster green economic development by means of green lending and green investment. As a result, advancements in fintech have the potential to foster green productivity expansion by elevating the development degree of green finance. This is a field that has a great deal of reference importance for most nations. The development of financial technology has the opposite effect on the building of sustainable smart cities. This is mostly because both the development and commoditization of fintech need more resources, and these resources also come at a greater price.

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Noura Metawa mail -
Nawazish Mirza mail
link https://doi.org/10.54216/AJBOR.070205

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Machine Learning-based Model for Talented Students Identification

Identifying the talented university students plays an important role in higher education. Special curriculum can be developed for these students as an outcome from the identification process. This curriculum can be compacted, clustered, and accelerated to match and exploit students’ abilities. Current methods for identifying talented students are based on simple identification test in the form of a questionnaire, which is developed for specific age. However, this method of identification cannot cover all aspects of student abilities and inaccurate as it not an iterative process. In this paper, a machine learning approach is proposed for identifying talented students based on their academic performance, which is evaluated repeatedly through their study. In this approach, we measure a set of features representing student abilities, then cluster them based on their features similarity. The proposed approach is applied on a set of 100 university students and shows promising results in identifying the talented group. To emphasize their talent, this group is guided to participate in national competitions that match their abilities, and they could achieve significant ranks.

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Abdelaziz A. Abdelhamid mail
link https://doi.org/10.54216/JAIM.010204

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new