Digital Commons Network^™

Towards Resource-Efficient Reactive And Proactive Auto-Scaling For Microservice Architectures, Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo

Research Collection School Of Computing and Information Systems

Microservice architectures have become increasingly popular in both academia and industry, providing enhanced agility, elasticity, and maintainability in software development and deployment. To simplify scaling operations in microservice architectures, container orchestration platforms such as Kubernetes feature Horizontal Pod Auto-scalers (HPAs) designed to adjust the resources of microservices to accommodate fluctuating workloads. However, existing HPAs are not suitable for resource-constrained environments, as they make scaling decisions based on the individual resource capacities of microservices, leading to service unavailability, resource mismanagement, and financial losses. Furthermore, the inherent delay in initializing and terminating microservice pods hinders HPAs from timely responding to workload fluctuations, …

Human-Ai Synergy In Survey Development: Implications From Large Language Models In Business And Research, Ping Fan Ke, Ka Chung Ng

Research Collection School Of Computing and Information Systems

This study examines the novel integration of Large Language Models (LLMs) into the survey development process in business and research through the development and evaluation of the Behavioral Research ASSistant (BRASS) Bot. We first analyzed the traditional scale development process to identify tasks suitable for LLM integration, including both human-in-the-loop and automated LLM data collection methods. Following this analysis, we developed the details of BRASS Bot, incorporating design principles of falsifiability and reproducibility. We then conducted a comprehensive evaluation of the BRASS Bot across a diverse set of LLMs, including GPT, Claude, Gemini, and Llama, to assess its usability, validity, …

Human‑Ai And Human‑Robot Collaboration In The Age Of Generative Ai, Agentic Ai, And Artificial General Intelligence: Opportunities And Challenges, Keng Siau

Research Collection School Of Computing and Information Systems

The advancement of Artificial Intelligence (AI) has been exponential, especially in the past few years. Most, if not all, of the AI systems we encounter and are exposed to at this point are Artificial Narrow Intelligence (ANI). ANI specializes in one area and solves problems in one area. Generative AI (GenAI) and Agentic AI (i.e., independent AI agent), at the current stage of development, are regarded as ANI. The race is currently on to develop Artificial General Intelligence (AGI). AGI refers to AI systems as smart as humans across a wide range of cognitive tasks. Recently, OpenAI’s o3 system received …

Scrutinizer: Towards Secure Forensics On Compromised Trustzone, Yiming Zhang, Fengwei Zhang, Xiapu Luo, Rui Hou, Xuhua Ding, Zhenkai Liang, Shoumeng Yan, Tao We, Zhengyu He

Research Collection School Of Computing and Information Systems

The number of vulnerabilities exploited in Arm TrustZone systems has been increasing recently. The absence of digital forensics tools prevents platform owners from incident response or periodic security scans. However, the area of secure forensics for compromised TrustZone remains unexplored and presents unresolved challenges. Traditional out-of-TrustZone forensics are inherently hindered by TrustZone protection, rendering them infeasible. In-TrustZone approaches are susceptible to attacks from privileged adversaries, undermining their security. To fill these gaps, we introduce SCRUTINIZER, the first secure forensics solution for compromised TrustZone systems. SCRUTINIZER utilizes the highest privilege domain of the recent Arm Confidential Computing Architecture (CCA), called the …

Learning An Interpretable Stylized Subspace For 3d-Aware Animatable Artforms, Chenxi Zheng, Bangzhen Liu, Xuemiao Xu, Huaidong Zhang, Shengfeng He

Research Collection School Of Computing and Information Systems

Throughout history, static paintings have captivated viewers within display frames, yet the possibility of making these masterpieces vividly interactive remains intriguing. This research paper introduces 3DArtmator, a novel approach that aims to represent artforms in a highly interpretable stylized space, enabling 3D-aware animatable reconstruction and editing. Our rationale is to transfer the interpretability and 3D controllability of the latent space in a 3D-aware GAN to a stylized sub-space of a customized GAN, revitalizing the original artforms. To this end, the proposed two-stage optimization framework of 3DArtmator begins with discovering an anchor in the original latent space that accurately mimics the …

The Feminization Of Deteriorated Labor Force Participation In Egypt: 1990 – 2024, Mennan Gamal Nour El Din

Theses and Dissertations

The purpose of this thesis is to explain why female labor force participation deteriorated in quantity and in quality despite the recent rise in female educational attainment levels over the past three decades (1990 – 2024). On the one hand, labor participation declined, whereas on the other hand, female informal employment remains high in Egypt. This thesis dissertation utilizes a qualitative research methodology through both secondary data in the form of descriptive statistics on the phenomenon of female labor force participation as well as primary data in the form of six in-depth expert interviews with experts in the fields of …

Investigating The Risk And Protective Factors Of Internet Addiction Among Adolescents Through The Lens Of Cognitive Behavioral Theory: A Cross-Sectional Study, Noura Shaltout

Theses and Dissertations

—Introduction: The Internet has become a central part of modern life, enhancing education, providing means of global communication, and facilitating access to information and entertainment. However, an attendant risk of excessive Internet use is becoming unconsciously addicted to virtual online activities, especially when large tech companies design their products in a way that makes them addictive to users. These companies have the tools and knowledge that allow them to manipulate and transform the behavior of their target audience. Thus, this study aimed to investigate the potential risk and protective factors for Internet addiction among adolescents. Methodology: This cross-sectional study employed …

Uaa Public Involvement, National Technology & Engineering Solutions Of Sandia, Llc (Ntess) And Department Of Energy (Doe), U.S. Department Of Energy

Tijeras Arroyo Use Attainability Analysis

Between 2018 and 2023 NTESS and DOE conducted a UAA for the Rio Grande to Four Hills Reach of Tijeras Arroyo (AU NM-9000.A_070). The UAA was conducted to formally evaluate whether the Rio Grande to Four Hills Bridge reach of Tijeras Arroyo exhibits characteristics of an ephemeral water body under 20.6.4.97 NMAC. Based on the information presented in the UAA, the Rio Grande to Four Hills Bridge reach of Tijeras Arroyo (AU NM-9000.A_070) exhibits characteristics of an ephemeral water body. NTESS and DOE intend to petition the New Mexico Water Quality Control Commission for an amendment of the reach’s classification …

Uaa Report And Findings, National Technology & Engineering Solutions Of Sandia, Llc (Ntess) And Department Of Energy (Doe)

Tijeras Arroyo Use Attainability Analysis

Between 2018 and 2023 NTESS and DOE conducted a UAA for the Rio Grande to Four Hills Reach of Tijeras Arroyo (AU NM-9000.A_070). The UAA was conducted to formally evaluate whether the Rio Grande to Four Hills Bridge reach of Tijeras Arroyo exhibits characteristics of an ephemeral water body under 20.6.4.97 NMAC. Based on the information presented in the UAA, the Rio Grande to Four Hills Bridge reach of Tijeras Arroyo (AU NM-9000.A_070) exhibits characteristics of an ephemeral water body. NTESS and DOE intend to petition the New Mexico Water Quality Control Commission for an amendment of the reach’s classification …

Irrigation And Society In The Upper Río Grande Basin, U.S.A: A Heritage Of Mutualism, José A. Rivera Ph.D

Faculty Publications

The acequias of the upper Río Grande are more than just irrigation canals. They also allocate and manage water for the community of landowners in the system. After four centuries of use, the acequias persist into modern times with their founding principles intact: self-government, local autonomy, internal rules for operating procedures, and a strong sense of mutualismo or communal responsibility. They have endured since Spanish colonial settlement and have maintained continuity of a water culture surviving political-administrative changes under three sovereigns, Spain (1598-1821), Mexico (1821-1848), and the United States (1848-Present). Despite stressors of climate variability, demographic changes, urbanization, and economic …

Density Boosts Everything: A One-Stop Strategy For Improving Performance, Robustness, And Sustainability Of Malware Detectors, Jianwen Tian, Wei Kong, Debin Gao, Tong Wang, Taotao Gu, Kefan Qiu, Zhi Wang, Xiaohui Kuang

Research Collection School Of Computing and Information Systems

In the contemporary landscape of cybersecurity, AI-driven detectors have emerged as pivotal in the realm of malware detection. However, existing AI-driven detectors encounter a myriad of challenges, including poisoning attacks, evasion attacks, and concept drift, which stem from the inherent characteristics of AI methodologies. While numerous solutions have been proposed to address these issues, they often concentrate on isolated problems, neglecting the broader implications for other facets of malware detection. This paper diverges from the conventional approach by not targeting a singular issue but instead identifying one of the fundamental causes of these challenges, sparsity. Sparsity refers to a scenario …

Changes In Energy Homeostasis, Gut Peptides, And Gut Microbiota In Emiratis With Obesity After Bariatric Surgery, Manal Ali Ahmad, Koen Venema, Carole Ayoub Moubareck, Gabi Wazz, Tarek Mahdy, Mirey Karavetian

All Works

Background Obesity is a growing health concern worldwide, including United Arab Emirates. Bariatric surgery is an effective treatment option, with to date unclear weight loss mechanisms. In this prospective study, we explored post-bariatric surgery changes in energy homeostasis, gut peptides, hormones, and gut microbiota. Method We recruited 19 Emirati adults who were planning to undergo sleeve gastrectomy (SG). We assessed the energy requirements using 24-hour diet recalls, indirect calorimetry for resting energy expenditure (REE), and a questionnaire for appetite. Anthropometrics included body mass index (BMI), waist circumference, waist-to-height ratio, fat mass, fat-free mass, and percentage of body fat. Gut peptides, …

Dean's Research Newsletter, February 2025, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Rescue Stenting For Failed Mechanical Thrombectomy In Acute Basilar Artery Occlusions: Analysis Of The Pc-Search Registry., Santiago Ortega-Gutierrez, Aaron Rodriguez-Calienes, Adam T Mierzwa, Milagros Galecio-Castillo, Mahmoud Dibas, Sami Al Kasab, Ashley Nelson, Ashutosh P Jadhav, Shashvat Desai, Gabor Toth, Anas Alrohimi, Mohamad Abdalkader, Piers Klein, Thanh N Nguyen, Hisham Salahuddin, Aditya Pandey, Sravanthi Koduri, Nirav Vora, Nameer Aladamat, Khaled Gharaibeh, Ehad Afreen, Syed Zaidi, Mouhammad Jumaa

Neuroscience Articles

BACKGROUND: We aimed to investigate whether rescue stenting (RS) following failed mechanical thrombectomy (MT) for acute basilar artery occlusion results in superior functional outcomes and enhanced safety compared with the natural history of failed MT.

METHODS: This retrospective cohort study utilized data from the Posterior Circulation Ischemic Stroke Evaluation: Analyzing Radiographic and Intra-Procedural Predictors for Mechanical Thrombectomy registry, encompassing 8 high-volume centers in the United States and covering the period from 2015 to 2021. Patients with basilar artery occlusion who experienced failed MT (modified Thrombolysis in Cerebral Infarction score of 0-2a after at least 1 attempt of clot retrieval) were …

Quantum-Inspired Framework For Big Data Analytics: Evaluating The Impact Of Movie Trailers And Its Financial Returns, Jaiteg Singh, Kamalpreet Singh Bhangu, Farman Ali, Ahmad Ali Alzubi, Babar Shah

All Works

In the context of the growing influence of businesses and marketers on social media platforms, understanding the impact of emotionally charged content on consumer behavior has become increasingly crucial. This study proposes a novel framework, leveraging quantum computing principles, to assess the emotional impact of movie trailers. The framework incorporates big data analytics and utilizes Quantum Walk andQuantum Time Series models to investigate the relationship between a movie trailer's emotional intensity and its financial performance. Unlike sequential problem-solving approach of traditional computing models, Quantum superposition allows exploring multiple options at once. An analysis of 141 movie trailers released after January …

The Future For Sport Officiating Research: An Expert Statement, Tom Webb, David J. Hancock, Matthew Weston, Stacy M. Warner, Werner F. Helsen, Clare Macmahon, Noel Brick, Roy D. Samuel, Jacob K. Tingle

School of Business Faculty Research

Research, coverage, and understanding in sport officiating related scholarly activity have increased markedly in the last decade. Sport officials (referees, judges, umpires) have been historically underrepresented in the sport management, psychology, and physiology literature, but this collection of experts provides avenues for collaboration and exploration that can contribute to understanding systems, individuals, and initiate real-world changes for sporting organisations, policy makers, and officials themselves. Focused and organised around the key research areas and priorities of physiology, decision making, psychology, mental health, management, and training and development, this statement offers detail on the development of the research and associated literature and …

World Transit Research February 2025 Newsletter, Institute Of Transport Studies Monash University

World Transit Research Newsletter

No abstract provided.

Analytical Method For Solving Systems Of Fractional Initial Value Problems Using The Modified Atangana-Baleanu Derivative, Lana Mohammad Aref

Theses

This thesis presents an analytical method to solve systems of fractional initial value problems using the Modified Atangana-Baleanu Fractional Derivative. The proposed approach leverages an improved operational matrix method, incorporating an iterative, direct computation technique to simplify the solution process and reduce computational costs. Foundational concepts in fractional calculus and block pulse functions are introduced, followed by the derivation of operational matrices tailored for fractional systems. Theoretical analysis establishes the existence and uniqueness of solutions, along with uniform convergence and error estimates. Practical examples and applications are presented that demonstrate the efficiency, accuracy, and versatility of the method in solving …

Frontmatter (Volume 45, Issue 2), Paul B. Mojzes

Occasional Papers on Religion in Eastern Europe

No abstract provided.

Branko Sekulić, Penetration Into The Heart Of A Sacralized Crime (In Croatian: Prodor U Srce Sakraliziranog Zločina) Book Review, Vjekoslav Perica

Occasional Papers on Religion in Eastern Europe

A review of Branko Sekulić, Penetration into the Heart of a Sacralized Crime (in Croatian: Prodor u srce sakraliziranog zločina), Belgrade, Serbia: Biblioteka XX vek, 2024.

ISBN: 9788675621768

A Neutrosophic Approach To Robust Web Security: Mitigating Xss Attacks, A. A. Salama, El-Said F. Aboelfotoh, Hazem M. El-Bakry, Huda E. Khalid, Ahmed K. Essa, Ramiz Sabbagh, Doaa S. El-Morshedy

Neutrosophic Sets and Systems

Cross-Site Scripting (XSS) is one of the most grievous vulnerabilities-a pitfall through which web applications are affected. These types of attacks are complex, and the available threat landscape is always changing, making it hard for conventional security tools to effectively detect or prevent these types of attacks. We present here an approach that detects and prevents XSS attacks on Web pages. Since Neutrosophism works with different kinds of data, it aims at the validity degree of the attack. This way the system understands the different types of attacks and allows the system to act more effectively. Our system combines (1) …

The Role Of Triangular Fuzzy Neutrosophic Set-Based Qualiflex In Enhancing University Dance Instruction Assessment, Yu Zhao

Neutrosophic Sets and Systems

The evaluation of university dance teaching quality involves a multi-dimensional approach, including the achievement of teaching objectives, the scientific and innovative nature of course content, the diversity of teaching methods, instructors' professional competence, and students' participation and progress. It uses both quantitative and qualitative analysis, incorporating student feedback and classroom observation to ensure comprehensive assessment. Continuously optimizing teaching strategies, enhances students' artistic literacy and overall abilities, supporting the development of high-level dance talent. The college dance teaching quality evaluation is multiple attribute decision-making (MADM). Recently, the QUALIFLEX method has been established to cope with MADM issues. The triangular fuzzy neutrosophic …

On Quick Switching System With Different Sampling Plans Using Fuzzy Neutrosophic Weighted Poisson Distribution, Vennila J, Basker P, Kripa Josten, Prakash V.S

Neutrosophic Sets and Systems

The present study provides a new sampling inspection approach to costly and destructive testing that involves the concept of neutrosophic and fuzzy logic in a quick switching system with a normal SSP and a tightened DSP as a reference plan using weighted poisson distribution as a baseline. It includes the neutrosophic and fuzzy weighted poisson distribution associations of this approach, along with normal and tightened acceptance numbers using OC functions, and OC curves using R programming. It strongly focuses on a new sampling approach that uses fuzzy logic for effectively dealing with inconsistent and uncertain terms. And Also, these sets …

A Neutrosophic Superiority And Inferiority Ranking-Based Model For Resource Allocation Efficiency In University Sports Management, Pute Lan, Jiaqi Guo, Changshun Bai

Neutrosophic Sets and Systems

The evaluation of resource allocation efficiency in university recreational sports aims to analyze and assess the effectiveness of how universities allocate facilities, equipment, and personnel for recreational sports. By collecting relevant data and applying scientific methods, it evaluates the usage and impact of resources to optimize allocation and enhance student participation and satisfaction. This not only helps improve campus sports culture but also promotes students' physical and mental health and overall development. The resource allocation efficiency evaluation in university recreational sports is a MAGDM problem. Recently, the Superiority and Inferiority Ranking (SIR) method has been employed to cope with MAGDM …

A Neutrosophic Logic Ruled Based Machine Learning Approaches For Chronic Kidney Disease Risk Prediction, Bhabani S.Mohanty, Krishna Priya R, Liya Alias, R. Vijaya Kumar Reddy, Prasanta Kumar Raut, Samson Isaac, Manibharathi D, C. Saravanakumar, Nihar Ranjan Panda, Said Broumi

Neutrosophic Sets and Systems

Chronic kidney disease (CKD) represents a significant global health challenge in society, and early detection of risk is essential for on-time treatment and intervention. This research suggests a novel machine-learning technique to create a reliable and accurate CKD risk prediction model by combining neutrosophic logic with various classification algorithms. We use neutrosophic logic to address the inherent imprecision and uncertainty in medical data, resulting in a more realistic portrayal of real-world scenarios. We measure the effectiveness of the proposed neutrosophic logic-based models using various metrics, including precision, specificity, and sensitivity. The results show that the neutrosophic logic method is better …

Neutrosophic Dus Exponential Distribution, Megha. C.M, Divya. P.R, Sajesh.T. A

Neutrosophic Sets and Systems

The exponential distribution is a widely used lifetime model with applications spanning numerous disciplines. The DUS transformation extends the applicability of the exponential distribution by improving its flexibility for diverse real-world scenarios. This study proposes the Neutrosophic DUS Exponential Distribution (NDUS-ED), an extension of the DUS Exponential Distribution, designed to effectively address and quantify uncertainty, inconsistency, and indeterminacy in data. Key statistical properties of NDUS-ED, including quantiles, moments, moment-generating functions, and order statistics, are derived under neutrosophic conditions. The performance of estimated parameters is evaluated through simulation, revealing superior results with larger sample sizes, particularly in managing imprecise and indeterminate …

Improved Maut Framework For Quality Evaluation Of University Party Building Work In The New Era Based On The Interval Neutrosophic Multi-Attribute Group Decision-Making, Yao Mo

Neutrosophic Sets and Systems

In the new era, the evaluation of the quality of party-building work in universities focuses on strengthening political, ideological, and organizational construction. By using a scientific evaluation system, it ensures the implementation of Party theories and policies. It emphasizes innovative methods to enhance Party members' ideological awareness and organizational skills, promoting the integration of Party building with education. This ensures the Party's leadership plays a central role in all university activities, driving comprehensive development. The quality evaluation of university party building work in the new era is a multi-attribute group decision-making (MAGDM) problem. Recently, both the MAUT method and the …

Neutrosophic Dynamic Network Dea: Efficient Allocation Of Carryover Variables In Organizational Processes, Maryam Heydar, Hadi Bagherzadeh Valami

Neutrosophic Sets and Systems

Carryover activities in dynamic DEA refer to the persistence of resources, inputs, or outputs across periods in organizational processes, reflecting the impact of past decisions on current and future performance. In practical applications, some carryover variables can extend beyond the immediate next period, and their allocation is discretionary, controlled by the Decision-Maker (DM). This paper introduces a novel dynamic network DEA (DNDEA) model aimed at optimizing the allocation of these carryovers and identifying inefficiencies within a network system across multiple evaluation periods. Recognizing the uncertainties present in real-world data, we incorporate neutrosophic sets to effectively process uncertain information, which adds …

Research On Mobile Advertising Users' Propagation Ability Evaluation Based On The Neutrosophic Cubic Number Multiple-Attribute Decision-Making, Minming Weng, Ying Long

Neutrosophic Sets and Systems

The evaluation of mobile advertising users' propagation ability assesses how effectively users can share or spread advertisements within their networks. It involves analyzing factors such as user engagement, social influence, sharing frequency, and network reach. By understanding these metrics, advertisers can identify highly influential users who can amplify campaign impact. This process helps optimize targeting strategies, improve ad performance, and maximize return on investment by leveraging users with strong propagation potential in mobile advertising ecosystems. The mobile advertising users' propagation ability evaluation is multiple-attribute decision-making (MADM). In recent years, the MOORA approach has been widely utilized to address multi-attribute decision-making …

Numerical And Semi Analytical Scheme For Developing A Solution To Falkner Skan Equation In Neutrosophic Environments, B. Amudha, M. Shanmugapriya, R. Sundareswaran, Said Broumi

Neutrosophic Sets and Systems

This study presents a detailed analysis of the Falkner-Skan equation under uncertainty by employing neutrosophic numbers to represent the uncertainty in no slip conditions and the parameter ��̃. By applying appropriate similarity transformation, partial differential equation (PDE) are converted into ordinary differential equation (ODE). Both the Shooting Method and the Homotopy Perturbation Method (HPM) are utilized to solve ODE’s. These ODE’s are then transmuted into neutrosophic differential equation (NDE) by employing (Α ̃,Β, ̃ Γ ̃)������ approach. The parameter ��̃ and no slip conditions are taken as triangular and trapezoidal neutrosophic numbers. The results are presented graphically to illustrate the …