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Highest Efficiency Of Perovskite Structure Solar Cells, Murtadha J. Edam, Samir M. Abdulalmohsin, Dheyaa A. Bilal, Mushtaq O. Oleiw Jan 2024

Highest Efficiency Of Perovskite Structure Solar Cells, Murtadha J. Edam, Samir M. Abdulalmohsin, Dheyaa A. Bilal, Mushtaq O. Oleiw

International Journal of Thin Film Science and Technology

Perovskite solar cells are the most promising photovoltaic technology in the current generation due to their rapid rise in efficiency (high absorption and large diffusion length), availability Initial the materials, low cost, easy to manufacture under very normal conditions, and high yield. This work concerned about modeled Titanium dioxide-based perovskite simulation model with FTO / TiO2 / CH3NH3PbI3 / NiO/Pt and used the solar cell capacitance simulator (SCAPS-1D) for analyzed. In this study NiO we used as Hole Transport Layer (HTM), TiO2as electron Transport Material (ETL) and CH3NH3PbI3 is the perovskite absorber. We study effects for change of the thicknesses …

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Study The Defect Of Organic Electron Transport Materials Of Perovskites Solar Cell, Hussein K. Mejbel, Samir M. Abdulalmohsin, Dhuha E. Tareq Jan 2024

Study The Defect Of Organic Electron Transport Materials Of Perovskites Solar Cell, Hussein K. Mejbel, Samir M. Abdulalmohsin, Dhuha E. Tareq

International Journal of Thin Film Science and Technology

: In this study, the Organic Perovskite solar cells have been of great interest due to their low cost and great efficiency. The perovskite materials have huge charge carrier mobility with greater stability than organic materials, metal oxides have shown great promise. In this research, because of its improved performance, we used PCBM represent as Electron Transport layer-ETL, NiO is Hole Transport Material (HTM), and CH3NH3PbI3 as an absorber. His work is concerned with the design and analysis of lead-based perovskite solar cell model with the versatile FTO/PCBM/CH3NH3PbI3/NiO/Pt architecture. Via system simulation, we researched the effects of some parameters on …

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Influence Of Effective Surface Area On Gas Sensing Properties And Surface Morphology Of Ag Doped Cu2o Thin Films By Cost Effective Method Of M-Silar Technique, A. Vasuhi, K. Dhanabalan, A. T. Ravichandran, R. Chandramohan, K. Ravichandran, R. Shalini Jan 2024

Influence Of Effective Surface Area On Gas Sensing Properties And Surface Morphology Of Ag Doped Cu2o Thin Films By Cost Effective Method Of M-Silar Technique, A. Vasuhi, K. Dhanabalan, A. T. Ravichandran, R. Chandramohan, K. Ravichandran, R. Shalini

International Journal of Thin Film Science and Technology

Undoped and silver (Ag) doped Cu2O (Cu2-xAgxO; x= 2.5, 5.0, 7.5 and 10.0 mol. %) thin films were deposited onto glass substrate using modified successive ionic layer adsorption and reaction (M-SILAR) technique. The Ag doping level causes significant influence on the properties of the system prepared. The results indicated that 10.0 mol.% Ag doping causes major property improvements. The deposited films were characterized by their structural, morphological, surface smoothness, optical and gas sensitivity. The X-ray diffraction analysis shows the polycrystalline growth of Cu2-xAgxO films. The substitution by Ag2+ ions result in cubic structure (111) preferential orientation. The transmittance and optical …

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How Technology Affordances Of Sharing Economy Platforms Influence Cultural Distance And The Affective Commitment Of Immigrants At The Base Of The Pyramid, Jie Yan, Saman Bina, Yasamin Hadavi, Robin Wakefield Jan 2024

How Technology Affordances Of Sharing Economy Platforms Influence Cultural Distance And The Affective Commitment Of Immigrants At The Base Of The Pyramid, Jie Yan, Saman Bina, Yasamin Hadavi, Robin Wakefield

Hunt Institute Working Paper Series

Within the immigrant population, there is a sub-group at the Base of the Pyramid (BoP). Compared to others, BoP immigrants receive lower incomes, have weaker informal networks, and face greater resource constraints. As more and more BoP immigrants participate in the sharing economy, we suggest that the use of sharing economy platforms by BoP immigrants would have a significant impact on their integration into a new country because it would influence cultural distance and affective commitment in multiple ways. Hence, in the present study, we seek to explore the relationships among the technology affordance of sharing economy platforms, the cultural …

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A Proposed Model For Accounting Valuation Of Intangibles In The Digital Platform-Based Sharing Economy, Raghda Abdellatif Abdelkhalik Elsayed Jan 2024

A Proposed Model For Accounting Valuation Of Intangibles In The Digital Platform-Based Sharing Economy, Raghda Abdellatif Abdelkhalik Elsayed

Information Sciences Letters

This study proposes a valuation model of the intangible assets/ intellectual capital (IA/IC) in digital platform-based sharing economy companies to prepare effective accounting and management reporting in a company. The study model is based on distinguishing between the increase in net assets that is due to changes in price levels and those that are due to the existence of intangibles of the company. This study develops a model for the valuation of intangibles using the organizational context of digital platform-based sharing economy companies. An empirical study was conducted on Uber Technologies, Inc. The results allow a comparison of the situation …

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Digital Mapping Of Urban Arterial Roads Pavement Conditions, Mohammed T. Obaidat, Bara W. Al-Mestarehi, Tamara H. Bani Ata Jan 2024

Digital Mapping Of Urban Arterial Roads Pavement Conditions, Mohammed T. Obaidat, Bara W. Al-Mestarehi, Tamara H. Bani Ata

Information Sciences Letters

This paper explores integrating Geographic Information System (GIS), Computer Vision (CV) and Artificial Intelligent (AI) using cellular phones to evaluate and manage pavement conditions. It enables non-expert users to assess and maintain pavements effectively. The study develops CV-based mapping and a knowledge-based system for distress detection and management. Statistical regression models predict pavement sustainability. Finally, this approach empowers users to make informed maintenance decisions. Different cameras resolutions ranging from 0.2 to 16 MP were used to build an intelligent framework system to evaluate and manage pavement conditions with suitable maintenance works by non-expert users. A CV based system was developed …

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Unleashing The Power Of Chatgpt In Finance Research: Opportunities And Challenges, Zifeng Feng, Gangqing Hu, Bingxin Li Jan 2024

Unleashing The Power Of Chatgpt In Finance Research: Opportunities And Challenges, Zifeng Feng, Gangqing Hu, Bingxin Li

Hunt Institute Working Paper Series

Natural language processing (NLP) technologies, such as ChatGPT, are revolutionizing various fields, including finance research. This article explores the multifaceted potential of ChatGPT as a transformative tool for finance researchers, highlighting the benefits, challenges, and novel insights it can offer to facilitate the research. We demonstrate applications in coding support, theoretical derivation, research idea assistance, and professional editing. A comparison of ChatGPT-3.5, ChatGPT-4, and Microsoft Bing reveals unique features and applicability. By discussing pitfalls and ethical concerns, we encourage responsible AI adoption and a comprehensive understanding of advanced NLP’s impact on finance research and practice.

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Hydromagnetic Stability Of A Self-Gravitating Oscillating Fluid Cylinder, S. S. Elazab, A. A. Hasan, Z. M. Ismail, G. H. Zidan Jan 2024

Hydromagnetic Stability Of A Self-Gravitating Oscillating Fluid Cylinder, S. S. Elazab, A. A. Hasan, Z. M. Ismail, G. H. Zidan

Information Sciences Letters

The hydro-magnetic stability of a self-gravitating oscillating medium with streams of variable velocities for fluid cylinder has been defined and investigated. The streaming is unstable, but the magnetic field has a significant stabilizing effect. Under certain conditions, the rotating forces have a stabilizing effect. Using suitable and specific conditionsto distinguish between stable and unstable domains, the stability criterion is derived and investigated numerically and analytically. The effects of inertial self-gravity, and electromagnetic forces on the stability of a fluid cylinder are studied. All basic functions and equations have been solved after defining the problem.

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Electrohydrodynamic Stability Of Self-Gravitating Fluid Cylinder, S. S. Elazab, A. A. Hasan Jan 2024

Electrohydrodynamic Stability Of Self-Gravitating Fluid Cylinder, S. S. Elazab, A. A. Hasan

Information Sciences Letters

Electrohydrodynamic Stability consists of a fluid cylinder with self-gravitation A self-gravitating tenuous medium surrounds it. that is permeated by a transversely variable electric field while being affected by self-gravitating forces, Capillary, and Electrical Forces is covered across all axisymmetric and (non)axisymmetric perturbation types. The problem is solved and all individual solutions are excluded. The model stabilizes as a result of continuous Electric field stability in all perturbation modes. In a narrow area of the axisymmetric perturbation. It has been established that self-gravitating and capillary forces have a destabilizing effect. However, the present model instability is improved and modified by self-gravitating …

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Detection Of Ddos Attacks Using Enhanced Fs With Brsa- Based Deep Learning Model In Iot Environment, Adwan A. Alanazi, Arwa D. Alzughaibi, Ghada Amoudi, Manahill I. A. Anja, Abdelgalal O. I. Abaker, Salem Alkhalaf Jan 2024

Detection Of Ddos Attacks Using Enhanced Fs With Brsa- Based Deep Learning Model In Iot Environment, Adwan A. Alanazi, Arwa D. Alzughaibi, Ghada Amoudi, Manahill I. A. Anja, Abdelgalal O. I. Abaker, Salem Alkhalaf

Information Sciences Letters

Network assaults and floods, are rising due to the increasing number of IoT devices, posing security and dependability concerns. These attacks cause a denial of service (DoS) and network interruption for IoT devices. Researchers have established multiple methods to track down assaults on weak IoT gadgets. This study provides a deep learning and swarm metaheuristic technique for detecting DDoS assaults in an Internet of Things (IoT) setting. The group search firefly method, a revolutionary improvement on the classic firefly algorithm, is used as a feature selection tool to zero in on the best candidates. In addition, the hyperparameters of the …

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Geometric Approach For Assessing The Sustainable Development Of Territories, Iryna Vakhovych, Mahmoud Abdel-Aty Jan 2024

Geometric Approach For Assessing The Sustainable Development Of Territories, Iryna Vakhovych, Mahmoud Abdel-Aty

Information Sciences Letters

n this paper, we delve into a groundbreaking methodology that evaluates the sustainable development of territories through a geometric approach. We exp lore novel approaches to assess sustainable development by constructing geometric figures that represent economic, social, and environmental levels of development. This innovative approach enables the evaluation of the balance between these spheres by determining the areas of the inscribed figures and examining their ratios. Through this geometric framework, a comprehensive understanding of the sustainable development landscape can be obtained.

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Analysis Of Covid-19 Disease Transmission With The Impact Of Vaccine, Ali Akgu ̈L Jan 2024

Analysis Of Covid-19 Disease Transmission With The Impact Of Vaccine, Ali Akgu ̈L

Information Sciences Letters

In this work, we incorporate the effects of the vaccine into the construction of the Covid-19 disease model. We discuss the many kinds of equilibria in detail. This is where the stability analysis is shown. Additionally, we fractionalize the model using the Mittag-Leffler kernel. We obtain the model’s solutions by an extremely effective numerical technique. We provide a few computer simulations to show that the proposed method works.

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Modeling And Classification Of Student Performance Based On A Machine Learning Model, Abdulellah A. Alsulaimani Jan 2024

Modeling And Classification Of Student Performance Based On A Machine Learning Model, Abdulellah A. Alsulaimani

Information Sciences Letters

The increasing popularity of Machine Learning in the education business can be attributed to its capacity to enhance several aspects of the educational system. The objective of the present study is to construct a prediction model utilizing Machine Learning techniques in order to forecast students academic performance. In the contemporary competitive landscape, academic institutions are compelled to engage in the proactive task of predicting students academic performance, categorizing them based on their individual talents, and implementing strategies to enhance their success in examinations. In order to identify students who may require early intervention and support, educational institutions must have the …

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Utilizing Lasso For Breast Cancer Prediction: A Hyper Machine Learning Technique With Significant, Rawia Elarabi, Najla Babiker, Awatef Balobaid, Walaa M. Abd-Elhafiez Jan 2024

Utilizing Lasso For Breast Cancer Prediction: A Hyper Machine Learning Technique With Significant, Rawia Elarabi, Najla Babiker, Awatef Balobaid, Walaa M. Abd-Elhafiez

Information Sciences Letters

Cancer is a dangerous disease that greatly impacts peoples lives, with breast cancer being the most common form in women. Detecting and predicting cancer accurately is crucial for a healthy life. This paper aims to achieve the highest accuracy in classifying breast cancer using various classifiers. Machine learning models and LASSO feature selection were employed, and the performance of different classifiers was compared using precision, accuracy, recall, F1 score, and ROC-AUC metrics. The results showed that the proposed model with SVM and LASSO achieved the highest accuracy.

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Mathematical And Statistical Structures Of A New Generalized Probability Distribution For Fitting Different Types Of Datasets, Mahmoud El-Morshedy Jan 2024

Mathematical And Statistical Structures Of A New Generalized Probability Distribution For Fitting Different Types Of Datasets, Mahmoud El-Morshedy

Information Sciences Letters

This article presents a novel approach to modeling a heavily tailed continuous distribution known as the logarithmic slash model. This model is built upon the transformation Y = eX , where X follows the slash distribution. Our aim is to introduce a model with desirable characteristics for practical applications, drawing inspiration from the unique features of the logarithmic model. As a result, we develop both univariate and multivariate extensions of the logarithmic slash model and conduct a thorough exploration of its mathematical properties. We employ the maximum likelihood method to estimate the model parameters and conduct simulation studies to assess …

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Academic Optimism And Its Relationship To The Efficiency Of Confrontation In Light Of The Transformation Of The Academic System Into Three Semesters, Zaheah S. M. Zaitoun Jan 2024

Academic Optimism And Its Relationship To The Efficiency Of Confrontation In Light Of The Transformation Of The Academic System Into Three Semesters, Zaheah S. M. Zaitoun

Information Sciences Letters

This study aims to identify the academic optimism scale and the confrontation efficiency scale to know the extent of the relationship between them in light of applying the new system in university education. The study has been done according to three semesters- the summer semester has not been included. After conducting the appropriate statistical analysis and answering the study questions, the researcher will discuss the results. The research sample consists of 350 university students from Prince Sattam Bin Abdulaziz University. The author constructed a survey by applying a Google form survey to collect the data and analyze it using the …

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Empowering Education For Students With Learning Difficulties And Disabilities: A Faculty And Student Perspective On The Utilization Of Assistive Technology At The Academic Arab College Of Education In Haifa, Nadia Ghalia, Darawsheh Ahlam, Eyal Isami Jan 2024

Empowering Education For Students With Learning Difficulties And Disabilities: A Faculty And Student Perspective On The Utilization Of Assistive Technology At The Academic Arab College Of Education In Haifa, Nadia Ghalia, Darawsheh Ahlam, Eyal Isami

Information Sciences Letters

This study aimed to investigate the current usage of electronic educational technology by educators in the context of teaching students with learning difficulties and disabilities at Haifa University. The research employed a qualitative analysis approach, utilizing the SAS software for both the analysis of questionnaire responses provided by academic staff and the coding of interview data. The interviewees included 40 students who represented various disabilities within the university and 20 academic professionals from the Department of Special Education. The studys results indicated a consensus among respondents that the provision of assistive technology in the university significantly enhances the learning experience …

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Conceptual Understanding For Systems Of Linear Equations: Difficulties And Challenges, M. Tashtoush, Y. Wardat, M. Al-Shannaq, R. Alali, S. Saleh, K. Al-Saud Jan 2024

Conceptual Understanding For Systems Of Linear Equations: Difficulties And Challenges, M. Tashtoush, Y. Wardat, M. Al-Shannaq, R. Alali, S. Saleh, K. Al-Saud

Information Sciences Letters

The conceptual understanding of algebraic concepts is challenging to students, adds to the challenge of teaching them. This study aimed to reveal the level of conceptual understanding about Systems of Linear Equations (SLEs) and its difficulties that faced students while they solving problems. The study sample consisted of (68) male and female students of linear algebra course. The conceptual understanding test was prepared with two qualitative and quantitative rubrics to classify students’ levels. The study results showed a decrease in the conceptual understanding of SLEs in general, and in the area of realizing the relationships between concepts related to SLEs …

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Algorithm Comparison For Student-Supervisor Matching In Supervisorship System Development: K-Means Vs. One-To-Many Gale-Shapley, Azamat Serek, Meirambek Zhaparov Jan 2024

Algorithm Comparison For Student-Supervisor Matching In Supervisorship System Development: K-Means Vs. One-To-Many Gale-Shapley, Azamat Serek, Meirambek Zhaparov

Information Sciences Letters

This paper presents a comparative analysis of the K-Means and Gale-Shapley algorithms for matching students to supervisors. The two algorithms are evaluated based on their performance in terms of preference satisfaction, balance of workload, time complexity, space complexity, and maximum and minimum workloads. The experimental results show that the Gale-Shapley algorithm outperforms the K-Means algorithm on all criteria, as shown in Table 4. Specifically, the Gale-Shapley algorithm achieves a preference satisfaction score of 0.74 and a balance of workload score of 0.5, compared to 0.34 and 0.2 for the K-Means algorithm. Additionally, the Gale-Shapley algorithm has a time complexity of …

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Teachers Motivation For Professional Development As A Means Of Increasing Preschool Education Quality, Z. Saira, Z. Fatima, N. Roza, A. Manara Jan 2024

Teachers Motivation For Professional Development As A Means Of Increasing Preschool Education Quality, Z. Saira, Z. Fatima, N. Roza, A. Manara

Information Sciences Letters

The purpose of this research was to determine teachers professional development motivation as a way to improve the quality of preschool education. In the study, the descriptive survey model was used in quantitative research models. The study group of the research consisted of 307 preschool teachers working in various preschool education institutions in Almaty, Kazakhstan. The professional development motivation scale of preschool teachers was created by this study’s researchers. A quantitative analysis program was used to analyze the data. Since the Kolmogorov - Smirnov value indicated normal distribution, parametric tests were applied to the data set. Weighted mean, standard deviation, …

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Modern Approaches To Assessment In Preschool Education, Z. Saira, А. Bakhytzhamal, J. Mariya, A. Manara Jan 2024

Modern Approaches To Assessment In Preschool Education, Z. Saira, А. Bakhytzhamal, J. Mariya, A. Manara

Information Sciences Letters

The purpose of this research is to evaluate the attitudes of preschool teachers regarding the application of modern approaches in the evaluation process in preschool education. In this research, the survey model, one of the quantitative research models, was used. Two hundred and ninety-one (291) preschool teachers teaching in various kindergartens in Kazakhstan constitute the sample group of the research. As a data collection tool in the study, the attitude scale of preschool teachers regarding the application of modern approaches in the evaluation process in education was developed by the researchers. Independent variables T-test was applied in the analysis of …

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Technological And Methodological Aspects Of The Formation Of Digital Competencies Of Future Teachers In The Republic Of Kazakhstan, B. Klara, T. Almash Jan 2024

Technological And Methodological Aspects Of The Formation Of Digital Competencies Of Future Teachers In The Republic Of Kazakhstan, B. Klara, T. Almash

Information Sciences Letters

The article identifies technological and methodological aspects of the formation of digital-creative competencies of future teachers in the conditions of distance education in the Republic of Kazakhstan, reveals the essence of the concepts of competence, digital competence, digital-technological competence, digital-methodological competence, creativity, and digital pedagogical campus. The article describes the essence of the components of competence in a new content: organizational ability; ability to empathize; reflective ability. One hundred and sixty (160) future teachers of Taraz Regional University named after M. Kh. Dulaty took part in the research work. During the study, an online survey and an online test were …

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Pedagogical Education In The New Kazakhstan: Technological And Methodological Aspects Of Distance Learning For Future Teachers, B. Klara, Y. Mirsat, K. Perizat, A. Amina, A. Turalbayeva, K. Seisekul Jan 2024

Pedagogical Education In The New Kazakhstan: Technological And Methodological Aspects Of Distance Learning For Future Teachers, B. Klara, Y. Mirsat, K. Perizat, A. Amina, A. Turalbayeva, K. Seisekul

Information Sciences Letters

The article defines the technological and methodological aspects of the formation of digital creative competencies of future teachers in the conditions of distance education in the Republic of Kazakhstan and reveals the essence of the concepts of competence, digital competence, digital-technological competence, digital-methodical competence, creativity, smart model and didactic characteristics of digital technologies. In the article, the essence of the components of competence is characterized in a new context: organizational ability; empathic ability; reflexive ability. An online questionnaire was compiled, and an online test was conducted. A mobile application for the online test was developed. Participants included future teachers of …

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An Optimization Model For Cargo Container Loading Problems, R. Simamora, S. Suwilo, H. Mawengkang, M. Zarlis Jan 2024

An Optimization Model For Cargo Container Loading Problems, R. Simamora, S. Suwilo, H. Mawengkang, M. Zarlis

Information Sciences Letters

Recently there has been a significant increase in demand for services that provide quick and dependable delivery and door-to-door pickup. As a result, networks for international air express carriers services have quickly expanded, creating increasingly competitive markets for airlines. To design a stochastic-demand cargo container loading planning model that reduces overall operating expenses while upholding operational limitations is the main objective of this research work. To achieve this goal, we must consider all of the relevant operational requirements. The model is presented in the form of an NP-hard nonlinear mixed integer stochastic program, which is the classification for the problem. …

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Bivariate Discrete Burr Lifetime Distribution: A Mathematical And Statistical Framework For Modeling Medical And Engineering Data, Mohamed El-Dawoody, Mohamed S. Eliwa Jan 2024

Bivariate Discrete Burr Lifetime Distribution: A Mathematical And Statistical Framework For Modeling Medical And Engineering Data, Mohamed El-Dawoody, Mohamed S. Eliwa

Information Sciences Letters

The central role of modeling discrete bivariate data in enhancing understanding, facilitating informed decision-making, and advancing knowledge spans various fields. This modeling allows the depiction of the intricate relationship between two variables and finds applications in diverse domains. The focus of this study is on introducing a novel statistical model, specifically the bivariate discrete Burr distribution, an unexplored entity in existing statistical literature. This model is presented as the discrete counterpart of the Burr distribution, and we explore its essential statistical characteristics. This exploration includes the derivation of the joint probability mass function, joint survival function, joint hazard rate function …

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Marshall–Olkin Bivariate Omega Model For Modeling Failure Of Paired Organs, N. M. Kilany, M. M. Seyam Jan 2024

Marshall–Olkin Bivariate Omega Model For Modeling Failure Of Paired Organs, N. M. Kilany, M. M. Seyam

Information Sciences Letters

Bivariate Marshall Olkin distribution methods are very useful for modelling failure of paired organs, such as the eyes, kidneys, and lungs. Although there are inevitable relations between the components of such organs, these organs may possibly fail one after the other or at the same time. In this paper, a new model using Bivariate Marshall- Olkin distribution methods, namely Bivariate Omega Model (BOM) is introduced and applied for modeling time of two eyes blindness in diabetic retinopathy patients. Some probabilistic properties of the bivariate Omega distribution are derived and studied. The dependence properties for bivariate Omega distribution are proposed using …

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Intuitive Decision-Making In The Gcc Cryptocurrency Market, Marwan M. Abdeldayem, Mohammed Y. Abo Keir, Saeed H. Aldulaimi Jan 2024

Intuitive Decision-Making In The Gcc Cryptocurrency Market, Marwan M. Abdeldayem, Mohammed Y. Abo Keir, Saeed H. Aldulaimi

Information Sciences Letters

The aim of this study is to investigate the phenomenon of intuitive decision-making in the GCC cryptocurrency market using both secondary data and primary data. In this paper, we explore how investors in the GCC cryptocurrency market use intuition to make decisions. The study collected 310 daily observations of the five most well-known cryptocurrencies, the GCC stock market indices, the VIX, and gold between January 1, 2022, and January 1, 2023, using data from the coin market cap and data streams. The study also adopted Hensman and Sadler-Smiths typology of intuitive and contextual signaling" and conducted extensive semi-structured interviews with …

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Unveiling Iep Challenges For Students With Hearing Disabilities: Insights From Special Education Teachers, M. A. Bukhary Jan 2024

Unveiling Iep Challenges For Students With Hearing Disabilities: Insights From Special Education Teachers, M. A. Bukhary

Information Sciences Letters

The objective of this study was to investigate the reality of the practices of applying the IEPs and Its obstacles for students with hearing disabilities from teachers’ perceptions of special education. The study employed a descriptive research design and utilized a qualitative methodology, wherein the primary data collection instrument was an interview, in order to accomplish the objectives of the research. The survey encompassed a sample of 8 teachers from schools in Jeddah. The studys findings revealed that individualized educational practices in schools within the Kingdom of Saudi Arabia were high. Also, the findings showed that there are obstacles facing …

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On Construction Of Tri-Concept Lattices, S. El-Assar, A. Badawy, I. Gad, S. Emad Jan 2024

On Construction Of Tri-Concept Lattices, S. El-Assar, A. Badawy, I. Gad, S. Emad

Information Sciences Letters

The main point is to define the structure of a Tri-Concept lattice to deal with data given by different sources and represent it by less complex structures without loosing knowledge. We suggest the algorithm TRI-NEST to form the nested diagrams corresponding to the Tri-Concept lattices. Adding the ICE-T algorithm enables us to generate all frequently closed concepts, which leads to simplifying the Tri-Concept lattices and using the Iceberg Concept lattices as a reduction method to the big data while preserving all information.

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Homotopy Analysis Fractional Sumudu Transform Method For Semi-Analytic Solution Of 2-D Time-Fractional Black–Scholes Equations, Rishi Kumar Pandey, Ram Kishun Lodhi, Kottakkaran Sooppy Nisar, Osama Moaaz, Hegagi M. Ali Jan 2024

Homotopy Analysis Fractional Sumudu Transform Method For Semi-Analytic Solution Of 2-D Time-Fractional Black–Scholes Equations, Rishi Kumar Pandey, Ram Kishun Lodhi, Kottakkaran Sooppy Nisar, Osama Moaaz, Hegagi M. Ali

Information Sciences Letters

Through two assets of the European call option into the form of a time-fractional order Caputo derivative, we have addressed the time-fractional Black-Scholes equations in the current paper. The homotopy analysis fractional Sumudu transform technique has been used to acquire the analytical solution through the convergence of the series solution. The approach combines the Sumudu transform and homotopy analysis approaches. Several graphs at specific and varying parameter values display the solution analysis and variations.

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