Digital Commons Network^™

Section 302(A)'S "Arising From" Nexus Element: Need For A Tune-Up In The Aftermath Of Ford Motor?, Michael J. Hutter

Pace Law Review

This article traces the historical development of the “arising out of” and “relate to” nexus requirements, examines the evolution of state long- arm statutes following International Shoe Co., and analyzes the origins and judicial interpretation of C.P.L.R. § 302(a). It argues that New York’s statutory scheme no longer fully reflects the constitutional scope of specific jurisdiction as articulated by the Supreme Court. The article concludes by proposing a legislative amendment to C.P.L.R. 302(a) to add the phrase “relate to,” thereby aligning New York’s long-arm statute with Due Process and better effectuating the statute’s underlying purpose of affording New York residents …

Informing Consumer Product Sound Quality Analysis Using Generative Adversarial Networks, Daniel Jeffery Lesko, Vinh Nguyen

Michigan Tech Publications

Sound quality attributes have been proven important predictors of customer satisfaction with consumer goods and appliances. The results of several studies indicate that level-based, tonal, and temporal aspects of sound influence the perceived quality of consumer products. The current state-of-the-art of inferring consumer satisfaction with sound attributes is based on the jury test methodology. However, product engineers often find the models generated from these studies incomplete, resulting in products that fail to meet consumer expectations. Therefore, this study aims to utilize generative data-driven approaches to create a range of acceptable sound quality attributes given consumer satisfaction requirements. A baseline sound …

Social Media And E-Cigarette Use In Youth: Does Depression Play A Mediating Role?, Soumya Upadhyay, Mohammad Karim, Shivank Chhaya

Healthcare Administration and Policy Faculty Research

About 28% of middle and high school students report the use of e-cigarettes per the 2019 NYTS survey. Social media can seclude a youth into limited set of beliefs, including affirmation for e-cigarette use. Internalizing problems like depression may be due to overuse of social media, and youth with depressive symptoms are more likely to use e-cigarettes to cope. National Youth Tobacco Survey (NYTS) 2023 data was used (n = 18 143) in a cross-sectional design. Ever e-cigarette use was the binary (Y/N) dependent variable. Independent variable, social media use, was categorized as “never,” “nondaily,” “daily.” Mediator variable, presence of …

Exploring The Optimal Age For Total Knee Arthroplasty To Minimize Risk Of Adverse Outcomes: Machine Learning Analysis Of A Statewide Cohort, Chloe Heiting, Yiyuan Wu, Susan M. Goodman, Peter Sculco, Fei Wang, Said A. Ibrahim, Peter Cram, Rich Caruana, Bella Mehta

Department of Medicine Faculty Papers

BACKGROUND: Rates of total knee arthroplasty (TKA) in the United States have risen in patients of a wide age range. Although rates of postoperative TKA complications have decreased, they remain a significant concern. In this study, we aim to determine how the risk of adverse TKA outcomes changes dynamically with age and explore the optimal ages with the lowest risk for adverse outcomes.

METHODS: This retrospective cohort study included patients who underwent elective primary TKA from 2012 to 2018 in the Pennsylvania Health Care Cost Containment Council Database. We trained (70% train:30% test) an explainable boosting machine (EBM), a modern …

Optimized Deep Learning Framework With H2o For Lung Cancer Prediction, Walaa Hassan Ibrahim, Mohamed S. Saraya, Sally M. Elghamrawy, Ali I. Eldesouky

Mansoura Engineering Journal

The automatic diagnosis of lung cancer using chest X-ray (CXR) images has significantly advanced with progress in computing, machine learning, and deep learning. However, detecting lesions and nodules remains challenging due to CXR limitations. Early lung cancer detection is critical for successful treatment, but current AI algorithms often rely on large annotated datasets, which are not always available. To address this, a novel multi-classification deep learning framework is proposed that combines CXR and CT images. This approach leverages the detailed feature detection capabilities of CT scans alongside the complementary views from CXRs, improving early-stage lung cancer detection and classification precision. …

Factors Affecting The Adoption Of Artificial Intelligence-Driven Wearable Technology In The Malaysian Healthcare Sector: A Conceptual Framework, Syeda Hafsa Rizwan, Anusuyah Subbarao, Nasreen Khan, Farrukh Ahmed Khan, Shaikh Fazlur Rahman, Nimra Aziz, Syed Muntazir Azhar Shah

International Journal of Management, Finance and Accounting

This conceptual paper examines the adoption of Artificial Intelligence (AI)-driven wearable technology, including smartwatches, fitness trackers, wearable ECGs, glucose monitors, and pain management devices, in transforming healthcare in Malaysia. Despite the extreme potential to enhance patient care and healthcare monitoring, the adoption of AI-driven wearable technology remains limited due to several persistent barriers. The purpose of this study is to examine these challenges and propose a framework to improve the integration of AI-driven wearable technology in Malaysia’s healthcare system. Grounded in the Diffusion of Innovation (DOI) theory, this study examines how five key innovation attributes —relative advantage, compatibility, complexity, trialability, …

Influence Of Time Management Skills And Technostress On Academic Performance Among The Private University Students: A Conceptual Framework, Jogtika Ramasamy, Nasreen Khan Thandar Oo

International Journal of Management, Finance and Accounting

Digital tools enhance learning but can also cause technostress, which can impact focus and academic performance. Balancing technology use with effective time management and social engagement is key to student success. Students in Malaysia's Klang Valley reported increased feelings of loneliness, mental health issues, and technostress, particularly as a result of the shift to online learning. This study aims to propose a conceptual framework based on the Study Demand-Resources Theory, examining how time management skills and technostress dimensions influence academic performance through the mediating role of student engagement. A quantitative and cross-sectional survey will be conducted by distributing Likert scale …

Innovative Approaches To E-Grocery: Analyzing Customer Satisfaction In Facebook Livestream Shopping, Karen Tien Wan Lin, Vincent Oh Kim Seng, Hasliza Hassan, Shaikh Fazlur Rahman

International Journal of Management, Finance and Accounting

The primary objective of this study is to examine the crucial determinants that influence customer satisfaction in Facebook livestream e-grocery shopping in Malaysia, with a particular focus on housewives as a significant consumer segment. A sample of 220 respondents was selected using simple random sampling, and the data was analyzed using the Statistical Package for the Social Sciences (SPSS). The analysis confirms the hypotheses that customer satisfaction in Facebook Livestream e-grocery shopping was influenced by factors such as product quality, security, website design, delivery service and e-service quality. Interestingly, three factors, including information quality, payment method, and product variety, were …

Digital Marketing And Consumer Behaviour In Travel Services: A Conceptual Framework On The Mediating Role Of Brand Trust, Omar Abdulaziz Sultan Abdullah, Junainah Binti Mohd Mahdee, Nurazlin Binti Mohd Fauzi

International Journal of Management, Finance and Accounting

Digital marketing shapes each moment of the contemporary travel journey, yet limited evidence still obscures how individual tactics foster purchase decisions. This conceptual study will develop an integrative framework that integrates four core touch-points, including social media marketing, email marketing, search engine marketing, and online reviews on travellers’ purchase intentions, positing brand trust as the central psychological mechanism. Guided by the Stimulus-Organism-Response theory, thirteen propositions will specify both the direct effects of each touch-point on trust and purchase intention, and trust as a mediator role. To demonstrate the mechanism for empirical validation, future research will conduct a purposive sampling of …

Artificial Intelligence And Employee Well-Being: A Systematic Literature Review, Dombagaha Pathiranage Marian Shavini Medonka Peiris

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersection of AI and well-being is growing, empirical research in this domain remains limited and underdeveloped. This study's primary objective was to assess the current knowledge in this domain, with a secondary aim of identifying critical research gaps to inform future investigations. Adhering to PRISMA guidelines, this systematic literature review analysed 23 empirical studies published between 2015 and 2025, sourced from the Lens.org and ProQuest databases and was guided by the Job Demands Resources (JD–R) model. …

Advances In Culture, Tourism, And Hospitality Research: Volume 1, Cihan Cobanoglu, Hanqin Qiu, Jiaying Lyu, James H. W. Shen

University of South Florida (USF) M3 Publishing

This is the first volume of the Advances in Culture, Tourism, and Hospitality Research Book Series.

Exploring The Pathways Of Artificial Intelligence And Sustainable Development In The Era Of Industrial Revolutions: A Bibliometric Analysis And Future Research Agenda, Xu Bin, Teh Sin Yin, Sajal Saha

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existing research lacks a systematic and quantitative overview of how AI contributes to sustainability goals. This study addresses this gap by conducting a bibliometric analysis of 101 articles from the Web of Science Core Collection, using the keywords “sustainab*”, “artificial intelligence”, and “industrial revolution”. Analytical tools such as VOSviewer and Scimago Graphica were employed to generate keyword co-occurrence maps, publication trends, and research collaboration networks. The results show that scholarly interest in …

Drawing Inspiration From The Magic Of The Unconscious In The Surrealist School, In The Works Of Jamil Jamoudi And The Works Of Aminollah Rezaei: A Comparative Study, Bashar Noumi

Journal of Language, Literature, and Arts

This paper provides a comparative analysis of the embryonic Surrealism of two well-known figures of the era: Jamil Hamoudi, an Iraqi surrealist artist, and Aminullah Rezaei, an Iranian surrealist artist. The results found that Surrealism in Iraq associated itself with cultural identity and sacred symbolism, unveiling Hamoudi as the merger of geometry, calligraphy, and warm colours, towards reshaping the collective unconscious and reformulating Eastern spirituality in a modernist fashion. While Surrealism itself was an American import, Surrealism in Iran was contained within a frame of clinical satire, with Rezaei using hybrid bodies and anatomical distortions within realism and fantasy to …

Desegregating The Community Of Inquiry In Philosophy For/With Children, Maughn Rollins Gregory, Darren Chetty

Department of Educational Foundations Scholarship and Creative Works

This dialogical article examines persistent challenges in engaging racism, colonialism, and white supremacy within the theory and practice of Philosophy for/with Children (P4/wC). Framed as a mutual interview between two long-standing colleagues, the dialogue revisits formative encounters in the P4/wC community and situates them within broader intellectual traditions, including American pragmatism, deliberative democracy, and Africana philosophy. Drawing on personal experience, archival material, and critical scholarship, the authors interrogate the metaphilosophical assumptions underpinning the “community of inquiry,” particularly its commitments to reasonableness, consensus, and democratic dialogue. Concepts such as the “gated community of inquiry,” white ignorance, nonideal theory, and insurrectionist ethics …

Association Between Tinnitus And Angina Pectoris In U.S. Adults: Evidence From Nhanes 2009–2018, Mitra Britton, Ishan Sunilkumar Bhatt

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Background/Objectives: Tinnitus has been increasingly associated with cardiovascular disease, and recent phenome-wide analyses have identified angina pectoris as a condition linked to tinnitus. This study aimed to replicate and quantify the association between tinnitus and angina pectoris in a nationally representative U.S. adult sample using NHANES, while adjusting for key demographic, cardiovascular, and tinnitus-related risk factors. Methods: Using data from four NHANES cycles 2009–2018, a cross-sectional analysis was conducted, which included 9185 participants, and used multivariate logistic regression analyses to investigate the association between tinnitus and angina pectoris. Results: Among 9185 adults, angina was associated with higher odds of tinnitus …

Single-Valued, Double-Valued, Triple-Valued, Quadruple-Valued, And Quintuple-Valued Neutrosophic Graph, Takaaki Fujita, Arif Mehmood, Arkan A. Ghaib

Neutrosophic Systems with Applications

Concepts such as fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets have been extensively studied as formal tools for modeling uncertainty, and they have found broad applications across many disciplines. A Double-Valued Neutrosophic Set (DVNS) extends the classical neutrosophic framework by splitting indeterminacy into two distinct components: one leaning toward truth and the other leaning toward falsity. In recent years, further refinements—namely Triple-Valued, Quadruple-Valued, and Quintuple-Valued Neutrosophic Sets—have also been introduced and investigated. These uncertainty models have naturally been lifted to graph-theoretic settings, where vertices and edges represent entities and relationships under ambiguity. Although fuzzy graphs and neutrosophic graphs …

Aav Gene Therapy For Mps Iva With Induction Of Immune Tolerance Via Oral Administration Of Epitope Peptides Of N-Acetylgalactosamine-6-Sulfate Sulfatase, Sampurna Saikia, Yasuhiko Ago, Fnu Nidhi, Shaukat Khan, Zhengyu Ma, Shunji Tomatsu

Department of Pediatrics Faculty Papers

Mucopolysaccharidosis IVA (MPS IVA) is caused by the accumulation of undegraded glycosaminoglycans due to the deficiency of the N-acetylgalactosamine-6-sulfate sulfatase (GALNS) enzyme. MPS IVA manifests as progressive systemic skeletal dysplasia. Gene therapy (GT) is potentially a one-time treatment in which the enzyme is continuously produced, circulated, and delivered to target tissues. However, immune responses to gene products can diminish therapeutic efficacy. We hypothesized that oral delivery of tolerogenic peptides induces immune tolerance to human GALNS (hGALNS) in MPS IVA mice, enhancing therapeutic efficacy. Neonatal mice deficient in mouse GALNS (mGALNS) were treated orally with three T-cell/B-cell epitope peptides or hGALNS …

Experiments Towards A Neutron Target For Measurements In Inverse Kinematics, S. F. Dellmann, Caroline M. Harrington, O. R. Cantrell, A. L. Cooper, A. Couture, D, V, Gorelov, I Knapová, S. M. Mosby, R. Reifarth, A. Alvarez, A. Aprahamian, J. Butz, I. J. Bos, Michael T. Febbraro, T. Hankins, B. M. Harvey, T. Heftrich, M. Le, Juan J. Manfredi, A. B. Mcintosh, K. V. Manukyan, M. Matney, S. Regener, D. Robertson, A. Simon, D. Sokolovic, E. Stech, G. Tabacaru, W. Tan, M. Wiescher, S. Yennello

Faculty Publications

Neutron-induced reactions play an important role in fundamental nuclear physics, nuclear astrophysics, and applications. In the case of reactions on rare isotopes, there are limited options for direct experimental measurements. The Neutron Target Demonstrator project at Los Alamos National Laboratory seeks to test the feasibility of moderating spallation neutrons within a 1 m³graphite cube to create a standing neutron target for neutron-induced reaction measurements in inverse kinematics. This paper presents the results of experimental neutron flux distribution tests using neutron sources (ranging from 1 keV to 50 MeV) created by accelerators at the University of Notre Dame and …

Alpha And Beta Emitters In Translational Nuclear Medicine: Clinical Advances, Challenges, And Future Direction, Hanieh Karimi, Thomas H. Shaffer, Erik Stauff, Vinay V. R. Kandula, Heidi H. Kecskemethy, Lauren W. Averill, Xuyi Yue

Department of Radiology Faculty Papers

Radiopharmaceutical therapy (RPT) has emerged as a transformative modality in oncology, particularly for patients with metastatic or inoperable tumors. By leveraging molecularly targeted carriers conjugated to cytotoxic radionuclides, RPT enables precise delivery of ionizing radiation to tumor sites while minimizing off-target effects. Central to this approach are alpha (α) and beta (β) particle-emitting radionuclides. This review aims to provide a comprehensive overview of all clinically relevant alpha and beta emitters and incorporates the most recent advances from 2017-2025, offering a comprehensive and up-to-date perspective. Alpha and beta emitters hold significant promises for the future, especially in nuclear medicine, energy, and …

Kepuasan Pasien Terhadap Pelayanan Pendaftaran Rawat Jalan Rumah Sakit Pemerintah: Analisis Kesenjangan Ekspektasi Dan Persepsi, Ade Heryana, Najla Kamilia Farhana, Dwi Nurmawaty, Rini Handayani

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Outpatient registration services represent a critical touchpoint in the patient experience at hospitals. A mismatch between expectations and the actual service delivered can affect patient satisfaction. Public hospitals continue to face complaints related to the registration process, such as long waiting times, unclear information, and inadequate waiting facilities. This study aims to assess patient satisfaction with outpatient registration services by comparing expectations and perceptions based on Expectancy Disconfirmation Theory and by using the Importance Performance Analysis (IPA) method to provide service improvement recommendations. This quantitative study employed an analysis of identically similar characteristics of paired Expectation and Perception 84 patients, …

N-Dqn: Neutrosophic Deep Q-Network For Uncertainty-Aware Forecasting And Decision Optimization, Rania Lutfi

Neutrosophic Systems with Applications

Uncertainty remains a critical challenge in dynamic spatiotemporal forecasting. This study proposes the Neutrosophic Deep Q-Network (N-DQN), a framework that integrates neutrosophic logic with deep reinforcement learning to enhance decision optimization under uncertainty. Features are modeled through truth, indeterminacy, and falsity membership functions, enabling robust handling of ambiguous data. The framework incorporates attention-guided preprocessing and horizon-aware optimization to adapt predictions across short- and long-term intervals. Experiments on benchmark traffic datasets (METR-LA and PEMS-BAY) demonstrate improved forecasting accuracy and reduced error rates compared with established baselines. The results highlight the scalability and resilience of N-DQN, positioning it as a promising approach …

Neutrosophic Finsler–Cohomological Framework For Engineering Systems Under Uncertainty, Mona Gharib, Ghulam Muhammad, Muhammad Idrees, Zeeshan Gul

Neutrosophic Systems with Applications

This paper introduces a novel mathematical framework that combines Neutrosophic Finsler Geometry with Neutrosophic Cohomology for evaluating the performance of Brushless Direct Current (BLDC) motors under uncertain and indeterminate operating conditions. Classical motor performance models typically assume precise measurements of torque, current, and efficiency; however, in real-world settings, these parameters are often affected by noise, incomplete information, and conflicting observations. By embedding motor operating states into a neutrosophic Finsler space, the proposed approach captures variations not only in magnitude but also in direction, uncertainty, and conflict of performance metrics. In addition, neutrosophic Cohomology is employed to characterize global invariants of …

Colorenal Fistula In A Patient With Recurrent Urinary Tract Infections And Urinary Urgency: A Case Report, Joey E. Maksoud, Lauren Peter, Elissa Zakharia, Brady Werth, Philippe Nabbout

Student Publications

Colorenal fistula is a rare condition resulting from chronic inflammation, malignancies, diverticulitis, or infection. This case examines a 68-year-old female with a history of urinary urgency, left back pain, and recurrent urinary tract infections. Anteroposterior non-contrast computed tomography scan showed a large stone in the renal pelvis and gas in the collecting system. Left ureteroscopy revealed multiple ureteral polyps. Retrograde pyelogram revealed contrast filling the left colon. Ureteral polyp biopsies were benign, and colonoscopy was negative for malignancy. This case describes the occurrence of a colorenal fistula in a patient with no history of surgery, malignancy, or diverticulitis.

Sectoral Shockwaves: Examining Bursa Malaysia's Sector Indices Amid The Covid-19 Pandemic, Alyssa April Dellow, Hafizah Bahaludin

International Journal of Management, Finance and Accounting

The Coronavirus disease 2019 (COVID-19) outbreak is becoming a widespread concern, as it is causing a decline in economies and negatively impacting stock markets worldwide. As the Malaysian government implements the Movement Control Order (MCO) to curb the spread of the deadly virus, the Malaysian stock market is rapidly impacted, becoming volatile and unpredictable throughout the pandemic phase. Thus, this study aims to analyse the structural correlation patterns of the Bursa Malaysia Sectoral Index Series using the threshold network approach. The data utilised in this study are the closing prices of all 13 sectoral indexes, spanning from January 1, 2019, …

Understanding The Happiness Journey Of International Students Through Maslow's Lens: A Qualitative Study Beyond Academics, Kyra Law Ley Sy

International Journal of Management, Finance and Accounting

This research investigates the factors contributing to happiness among international students at a Malaysian university through a qualitative, semi-structured questionnaire administered to 10 students (5 female and 5 male) from nine countries. Four key themes emerged, aligning with Maslow’s Hierarchy: 1) Personal Achievement and Academic Fulfillment- happiness derived from educational success and career progress; 2) Social Connection and Belonging- the importance of relationships and cultural integration; 3) Health and Environmental Comfort- adaptation to climate and living conditions; and 4) Internal Reflection and Emotional Regulation- the impact of mindset and coping mechanisms on overall happiness. The research demonstrates that international student …

Rate And Characteristics Of Frequent Attenders At Primary Healthcare Centres In Muscat Governorate, Oman: A Cross-Sectional Study, Manar Al Sanaa Ali Alzeedi, Najlaa Jaafar Mohammed, Fatma Al Hadhrami, Hadya Al Lawati, Muna Aal Talib, Rahma Al Riyami, Rahma Al Shuhaimi, Wiam Al Tuqi

Sultan Qaboos University Medical Journal

Objectives: Frequent attenders (FAs) are patients who use primary healthcare centre (PHC) services at disproportionately high rates which puts a strain on health systems and affects the quality of care. This study aimed to determine the prevalence of FAs in PHCs in Muscat Governorate, Oman, and to identify their demographic, socioeconomic and clinical characteristics. Methods: This cross-sectional study was conducted across 10 randomly selected PHCs in Muscat from January to December 2024. Data were collected retrospectively from electronic medical records for 2023. FAs were defined as individuals with 10 or more visits per year. Descriptive statistics and multivariate Poisson regression …

Current Research Progress On Electrode Materials For All-Vanadium Redox Flow Batteries, Wen-Qi Wang, Jie Jin, Li-Min Wang, Xin-Yue Liu, Tao Cheng, Yong Hou, Han Xue, Zhi-Yu Wang, Bo Liu, Jia-Bao Liu, Xu-Bin Lu

Journal of Electrochemistry

The redox active species in all-vanadium redox flow batteries (VRFBs) reside in the electrolyte, while the heterogeneous reactions occur on the electrode surface; the electrode is therefore the decisive platform for dynamic adsorption, electron transfer, and ion conversion, especially for the VO²⁺/VO₂⁺ and V²⁺/V³⁺ couples. One of the major challenges for VRFBs is the slow charge transfer in VO²⁺/VO₂⁺ and V²⁺/V³⁺ reactions, mainly caused by poor catalytic performance of electrodes and weak adhesion of catalysts to electrodes. This review focuses on the key challenges and recent …

Triphenylmethane-Derived Levelers For High-Speed Redistribution Layer Copper Electroplating Of Tailored Surface Morphologies, Zi-Hao Song, Wei-Bin Wang, Xiao-Hui Liu, Xiao-Min Han, Yi Zhou, Rui Huang, Yan-Xia Jiang, Zhe Li, Xiao-Wei Liu, Mei-Ling Xiao, Hong-Gang Liao, Wei-Lin Xu, Rong Sun

Journal of Electrochemistry

Redistribution Layer (RDL), composed of layered dielectrics and electroplated copper materials, is a basic structure to rearrange numerous I/O pads on the chip surface in wafer-level advanced packaging. As the key chemicals in electrolyte baths, electroplating additives have undergone continuous development to meet the industrial needs for high-speed and fine-line/fine-pitch applications. Meanwhile, the intricate relationships between additive chemical structures and electroplated copper properties are yet to be well understood. In this work, a pair of triphenylmethane-based dye molecules, i.e., gentian violet (GV) and methyl green (MG), was comparatively investigated as levelers for high-speed RDL copper electroplating. Compared to GV, significantly …

Control Of Pore Nucleation And Rearrangement Kinetics During Aluminium Anodizing In Phosphoric Acid Electrolyte, Ilya V. Roslyakov, Nikita A. Shirin, Dmitry M. Tsymbarenko, Sergei N. Pavlov, Sergey E. Kushnir, Nikolay V. Lyskov, Kirill S. Napolskii

Journal of Electrochemistry

Anodic aluminium oxide (AAO) porous films with an interpore distance of several hundred nanometers are of great interest due to their unique interaction with visible and near-infrared light, and high thermal stability up to 1500 °C. These porous films are prepared by aluminium anodizing at high voltages in weak acids, leading to a slow kinetics of initial stages of porous structure formation. Here, we propose an approach to accelerate AAO formation in electrolytes based on weak acids such as phosphoric acid. Aluminium foils, pre-patterned using first anodizing under different conditions and subsequent selective dissolution of a sacrificial AAO layer, were …

Evaluating Domains' Trustworthiness Based On Uncertainty-Driven Methodologies In The Era Of Sixth Generation, Zekra Sakr, Mona Mohamed

Neutrosophic Systems with Applications

The onset of today's innovations pledges to have a beneficial influence on contemporary civilization in an era of intelligent revolutions, setting a precedent for unrivaled efficiency, creativity, and connectedness. The integration between these technologies contributes to the mutual benefit of each one, wherein this relation is a so-called ``reciprocal partnership''. For instance, the sixth generation (6G) wireless networks permit blockchain nodes to coordinate huge volumes of transaction data in real-time. On the other hand, blockchain is considered a secure valve because spectrum sharing can be automated with blockchain and smart contracts. Accordingly, analyzing and evaluating the contribution of these technologies …