Digital Commons Network^™

Molecular Identification Of Respiratory Syncytial Virus, Seasonal Influenza Viruses, And Sars-Cov-2 In Respiratory Tract Infections: A Cross-Sectional Study In Taif City, Mazen M. Almehmadi, Faiha A Alharbi, Ahmad K. Shawush, Mamdouh A. Allahyani, Osama A. Abdulaziz, Ayman S. Alhazmi, Ahmad A. Aghamdi

Saudi Medical Journal

ABSTRACT Objectives: To explore the prevalence of respiratory tract infections (RTIs) in Taif via molecular diagnosis method, to enhance the clinical decision making and the need for vaccination strategies. Methods: A 5864 participants were enrolled in this study, all from Taif city. Samples were collected via nasal swab, throat swab, or sputum sample. The duration of the study were 24 months from January 2023 to December 2024. Samples were transported in viral transport medium. Then processed using GeneXpert system. Fluorescent probes detected viral RNA and reported as detected or not detected. Chi-square test was applied for statistical analysis purposes. Results: …

Healthcare Transformation Through The Implementation Of A New Population Health Management Approach To Achieve Saudi Arabia’S Vision 2030: The Lessons Learned In The Qassim Health Cluster, Majed S. Alharbi, Emmanuel F. Osagiede, Raed F. Al-Harbi

Saudi Medical Journal

ABSTRACT Objectives: To investigate how the Qassim Health Cluster (QHC) implemented population health management (PHM) in tandem with the goals of Saudi Vision 2030 and to pinpoint the main issues and lessons gained from this implementation. Methods: This research used a descriptive population study design and was conducted between November and December 2024. We collected data using a mixed-method approach, gathering qualitative data from 11 PHM implementers and secondary quantitative data from 102,946 healthcare service users. Results: Qassim Health Cluster’s PHM implementation team established a regional 5-year strategic plan to follow the national PHM framework, utilizing data-based decision-making to implement …

Feasibility And Utilization Of Point-Of-Care Ultrasound Devices In A Prehospital Setting In Riyadh, Saudi Arabia, Murdhi H. Alanazi, Abdulaziz A. Alrabiah, Ebrahim A. Algosaibi, Noof H. Alzahrani, Muhanna A. Alanazi, Mansour M. Aldhafeeri, Hani A. Albrahim, Abdulmajeed M. Mobrad

Saudi Medical Journal

ABSTRACT Objectives: To evaluate the utility of point-of-care ultrasound (POCUS) devices in prehospital care in Saudi Arabia. Furthermore, the impact of POCUS training on paramedics’ knowledge, confidence in use, and attitudes toward POCUS devices was assessed. Methods: Thirty-seven paramedics who were engaged in providing prehospital emergency care were selected. A quasi-experimental pre-test and post-test study was conducted between February 5 and March 20, 2025. Participants underwent a comprehensive POCUS training involving theoretical lectures, hands-on sessions, and simulation-based exercises. Results: A significant improvement in overall POCUS knowledge, confidence in use, and diagnostic accuracy were noted on the post-test survey. Pre-test knowledge …

Are Patients With Advanced Cancer Receiving Treatment Aligned With Their Goals?

Saudi Medical Journal

No abstract provided.

Law Grapples With Its Achilles’ Heel? Uncertainties, Digital Experiments, And The Ai Frontier, Heng Wang

Research Collection Yong Pung How School Of Law

The governance of digitalization— which encompasses developments such as artificial intelligence (AI) and central bank digital currencies (CBDCs) — confronts serious challenges. At the core of the challenges are uncertainties, which form the central obstacle to effective governance. These uncertainties range from cyber risks to shifting societal responses. Law, as an institutionalized framework of governance, faces mounting pressure and wrestles with a fundamental vulnerability: traditional legal frameworks struggle to address uncertainties in digitalization.

To tackle the pervasive challenges of uncertainties, this article addresses two connected questions: What uncertainties does law face in governing digitalization shaped by emerging technologies? How can …

Beneficial Ownership In Domestic Tax Legislation, Some Clarity, But Far From ‘Well Established’: Hargreaves Property Holdings Ltd V Hmrc [2024] Ewca Civ 365, Vincent Ooi

Research Collection Yong Pung How School Of Law

The concept of beneficial ownership is extensively used in domestic tax legislation, but several decades ofinconsistent case law have muddied the waters as to exactly what it means. With the leading casesstopping short of the apex court, it is difficult to reconcile the cases and come up with a clear definition ofbeneficial ownership. The recent Hargreaves decision by Falk LJ (with whom Nugee and Peter JacksonLJJ agreed) represents the most structured judicial attempt to rationalise the concept to date. This notesuggests that, contrary to Falk LJ’s statement that the concept is ‘well established’, the law pre-Hargreaveswas far from clear. This …

Beyond Democracy: How A Free Press Supports The Rule Of Law, Erin C. Carroll

Cardozo Law Review

Widespread agreement has existed for centuries that a free press is essential to democracy. But legal scholars have spent almost no effort thinking about why else we might need a free press. This article attempts to widen the aperture. It argues that as the free press is essential to democracy, it is just as essential to a separate value: the rule of law. Recognizing and investigating the connections between the free press and the rule of law is essential right now. It can help us discern how the press can create friction against the erosion of both rule of law …

Personality And Personnel Selection: Going Beyond Self-Reports And Linear Relationships, Filip Lievens, Jinyan Fan, Jingyi Li

Research Collection Lee Kong Chian School Of Business

The study of personality in selection and assessment represents one of the most longstanding and voluminous literature in industrial and organizational psychology. In this paper, we review two important recent research streams. First, we review studies on alternatives to self-report personality inventories, namely the use of Situational Judgment Tests (SJTs), assessment center (AC) exercises, and a multi-rater framework. Second, we review studies that go beyond linear relationships between personality and job performance. Generally, our review reveals that these alternative approaches show promises in better understanding personality and how personality relates to performance.

Integrating Demand Forecasting And Deep Reinforcement Learning For Real-Time Electric Vehicle Charging Price Optimization, Monowar Mahmud, Tarek Abedin, Md Mahfuzur Rahman, Shamiul Ashraf Shoishob, Tiong Sieh Kiong, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The rapid growth of electric vehicles (EVs) demands efficient, grid-friendly charging systems. This study introduces a dynamic pricing framework combining short-term demand forecasting and deep reinforcement learning. Using Adaptive Charging Network (ACN) data, XGBoost predicts charging demand accurately (R² = 0.84, MAE = 0.45 kW). Compared to a uniform rate applied to all charging usage, set at 0.15 USD/kWh across all hours, with no adjustment for system demand conditions or time-of-day, the optimized strategy enhanced total daily revenue by 133 % and diminished load variance by 72.37 %. The PPO agent also surpassed traditional Time-of-Use and demand-based pricing models …

Precipitated By The Pandemic: From Remote Witnessing To Electronic Wills, Edward Ti, Hang Wu Tang

Research Collection Yong Pung How School Of Law

The COVID-19 pandemic exposed the rigidity of will-making laws requiring in-person witnessing. Jurisdictions responded differently: some introduced temporary measures, others implemented permanent reforms allowing remote witnessing. This article compares responses in England and Wales, selected Australian states, Singapore, and Hong Kong SAR, tracing developments toward potential recognition of electronic wills. The central argument is that law reform should balance accessibility with safeguards against fraud and undue influence, avoiding overly burdensome formalities that deter compliance. The article concludes by examining how national digital identity systems could be used for the execution of electronic wills.

Interpreting The Private‑ And Public‑Sector Service Criteria For Singapore’S Aspiring Presidential Candidates, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

The Singapore President's role is not only ceremonial: from 1991, it has encompassed the substantive function of serving as a guardian of public reserves and the integrity of the public service. A person must meet certain qualifying criteria in order to run in a Presidential election. This article focuses on one set of qualifying criteria, namely, the "service criteria": the requirement that candidates have had certain experience in serving in certain roles in the public sector or the private sector. The service criteria were last amended in 2016, and came to the fore in the 2023 Presidential Election following George …

The Excellent Legal Scholar, Seow Hon Tan

Research Collection Yong Pung How School Of Law

The Excellent Legal Scholar: This article considers how virtues pan out in the life of the legal scholar, bearing in mind the purpose of legal scholarship and the identity of the legal scholar, who plays multifarious roles in today's research landscape. I consider how vision is important for the excellent legal scholar, bearing in mind that an aretaic account should be attentive to eudaimonia. I conclude with soul-searching questions for the legal scholar who endeavours to live an examined life that stands up to aretaic appraisal.

Design Of A Robust Adaptive Cascade Fractional-Order Proportional–Integral–Derivative Controller Enhanced By Reinforcement Learning Algorithm For Speed Regulation Of Brushless Dc Motor In Electric Vehicles, Seyyed Morteza Ghamari, Mehrdad Ghahramani, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) motors are commonly used in electric vehicles (EVs) because of their efficiency, small size and great torque-speed performance. These motors have a few benefits such as low maintenance, increased reliability and power density. Nevertheless, BLDC motors are highly nonlinear and their dynamics are very complicated, in particular, under changing load and supply conditions. The above features require the design of strong and adaptable control methods that can ensure performance over a broad spectrum of disturbances and uncertainties. In order to overcome these issues, this paper uses a Fractional-Order Proportional-Integral-Derivative (FOPID) controller that offers better control precision, better …

Effects Of Exercise On Inflammation In Female Survivors Of Nonmetastatic Breast Cancer: A Systematic Review And Meta-Analysis, Francesco Bettariga, Dennis R. Taaffe, Anita Borsati, Alice Avancini, Sara Pilotto, Stefano G. Lazzarini, Pedro Lopez, Luca Maestroni, Umberto Crainich, John P. Campbell, Timothy D. Clay, Daniel A. Galvão, Robert U. Newton

Research outputs 2022 to 2026

Background: Despite advances in breast cancer treatment, recurrence remains common and contributes to higher mortality risk. Among the potential mechanisms, inflammation plays a key role in recurrence by promoting tumor progression. Exercise provides a wide array of health benefits and may reduce inflammation, potentially reducing mortality risk. However, the effects of exercise, including mode (ie, resistance training [RT], aerobic training [AT], and combined RT and AT) and program duration, on inflammatory biomarkers in breast cancer survivors remain to be elucidated. Methods: A systematic search was undertaken in PubMed, CINAHL, Embase, SPORTDiscus, and CENTRAL in August 2024. Randomized controlled trials examining …

Explainabledetector: Exploring Transformer-Based Language Modeling Approach For Sms Spam Detection With Explainability Analysis, Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker

Research outputs 2022 to 2026

Short Message Service (SMS) is a widely used and cost-effective communication medium that has unfortunately become a frequent target for unsolicited messages - commonly known as SMS spam. With the rapid adoption of smartphones and increased Internet connectivity, SMS spam has emerged as a prevalent threat. Spammers have recognized the critical role SMS plays in today's modern communication, making it a prime target for abuse. As cybersecurity threats continue to evolve, the volume of SMS spam has increased substantially in recent years. Moreover, the unstructured format of SMS data creates significant challenges for SMS spam detection, making it more difficult …

The Role Of Social Capital In Enhancing Organizational Effectiveness, Participation, And Sustainability: Insights From Service-Learning Evaluation Reports, Mark Anthony D. Abenir

Development Studies Faculty Publications

Social capital, encompassing networks, trust, and shared norms among community members, underpins the success of community development initiatives. This study examines how deliberate efforts to strengthen social capital influence organizational effectiveness, participant engagement, and long‐term sustainability in four urbanbased service‐learning projects in Metro Manila, Philippines. Through a qualitative review of comprehensive endof‐project evaluation reports spanning a junior educator tutoring program, a disaster preparedness intervention, a women’s leadership and organization development project, and project management capacity‐building workshop for conditional cash transfer beneficiaries, the research applied a three‐dimensional social capital framework: structural (network coordination and information exchange), cognitive (shared norms and collective …

Functional Analysis Of R144 In The Flavin Oxidation Mechanism Of A Flavin-Dependent N-Monooxygenase, Reeder Robinson, Korliss Britt, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Flavin-dependent N-monooxygenases (NMOs) are key enzymes in the biosynthesis of hydroxamate-containing siderophores, which are critical virulence factors in pathogenic microorganisms. SidA, an NMO from Aspergillus fumigatus, catalyzes the NADPH- and O2-dependent hydroxylation of L-ornithine (Orn) via a stable C4a-hydroperoxyflavin (FADOOH) intermediate. This study investigates the role of Arg144 in the catalytic cycle of SidA. Site-directed mutagenesis of Arg144 to alanine (R144A) significantly impaired both oxygen consumption and Orn hydroxylation, resulting in an approximately 60-fold reduction in kcat and a ~300-fold decrease in kcat/KM. The pH dependence, solvent kinetic isotope effects, and rapid-reaction kinetics reveal that R144 influences protonation events crucial …

Review Of Victor Fan, “Cinema Illuminating Reality: Media Philosophy Through Buddhism”, Teng-Kuan Ng

Research Collection College of Integrative Studies

This is a book review of Victor Fan, Cinema Illuminating Reality: Media Philosophy through Buddhism (Minneapolis: University of Minnesota Press, 2022)

On Modeling Of Multiplicative Bias Factor For Multivariate Degradation Data, Bingxin Yan, Qiuzhuang Sun, Zhisheng Ye

Research Collection College of Integrative Studies

Multivariate degradation data are increasingly common due to advances in sensor technology. They provide rich information for reliability analysis and remaining useful life (RUL) prediction. The multivariate measurement typically contains actual degradation of multiple performance characteristics (PCs) and measurement errors. The multiple PCs often have different physical meanings with different orders of magnitude, making the associated measurement errors vary in the orders of magnitude as well. It is highly desirable to have a parsimonious model accounting for the possible correlation in degradation measurements, so that more flexibility can be reserved for modeling the actual multivariate degradation. This study proposes a …

Early Signs The Eu Carbon Border Adjustment Mechanism Is Reshaping Eu-India Steel Trade, Gian Luca Vriz, Theodor Florian Cojoianu, Carolyn Fischer, Luca Taschini

Research Collection College of Integrative Studies

This study examines early signals of the EU CBAM's impact on iron and steel exporters from India by integrating firm-level export data with third-party estimates of manufacturers' emissions and production. Changes in trade flows and pricing during the CBAM reporting phase indicate that high-emission-intensity firms have decreased both their average unit prices and shipment sizes to the EU, while low-emission-intensity firms have not changed shipment behavior and may have benefited from increasing prices. Such supply chain adjustments are in line with EU policy intentions, creating opportunities for low-emission producers while reducing reliance on high-emission suppliers to the EU.

Make Yourself Comfortable: Nudging Urban Heat And Noise Mitigation With Smartwatch-Based Just-In-Time Adaptive Interventions (Jitai), Clayton Miller, Xuan Yun Chua, Matias Quintana, Binyu Lei, Filip Biljecki, Mario Frei

Research Collection College of Integrative Studies

Humans can play a more active role in improving their comfort in the built environment if given the right information at the right place and time. This paper outlines the use of Just-in-Time Adaptive Interventions (JITAI) implemented in the context of the built environment to provide information that helps humans minimize the impact of heat and noise on their daily lives. This framework is based on the open-source Cozie iOS smartwatch platform. It includes data collection through micro-surveys and intervention messages triggered by environmental, contextual, and personal history conditions. An eight-month deployment of the method was completed in Singapore with …

Hlcg: A Hierarchical Lane-Changing Gaming Decision Model For Heterogeneous Traffic Flow On Two-Lane Highways, Tianyi Wang, Chong He, Hao Li, Yixuan Li, Yiming Xu, Yangyang Wang, Junfeng Jiao

Research Collection College of Integrative Studies

Discretionary lane-changing behavior is one of the most common highway operations, which seriously affects traffic efficiency and safety. Nowadays, connected and automated vehicles (CAVs) are advancing rapidly, though not yet fully widespread. As a result, a mixed traffic environment with traditional human-driven vehicles (HDVs) and CAVs will persist for the foreseeable future. To achieve effective automatic lane-changing maneuvers, it’s necessary to propose a lane-changing decision model for heterogeneous traffic flow on two-lane highways. This paper firstly extends longitudinal car-following models based on the intelligent driver model and lateral lane-changing models using quintic polynomial curves to accommodate heterogeneous traffic flow, and …

Towards A Digital Twin For Smart Resilient Cities: Real-Time Fire And Smoke Tracking And Prediction Platform For Community Awareness (Firecom), Kijin Seong, Junfeng Jiao, Ryan Lewis Hardesty, Arya Farahi, Paul Navratil, Nate Casebeer, Braniff Davis, Justice Jones, Dev Niyogi

Research Collection College of Integrative Studies

This paper discusses the development and application of a digital twin (DT) for urban resilience, focusing on an integrated platform for real-time fire and smoke. The proposed platform, FireCom, adapts DT concepts for the unique challenges of urban fire management, which differ significantly from regional wildfire systems. Through an exploratory case study in Austin, Texas, in the United States, this research bridges the theoretical foundations of 3D DT with their practical application in fire and smoke management. By fusing diverse data sources, ranging from air quality sensors and meteorological data to 3D urban infrastructure, FireCom supports both emergency response and …

An Analysis Of Mergers In The Presence Of Uncertainty In Renewable Energy Integration Costs, Wassim Daher, Jihad Elnaboulsi, Mahelet G. Fikru, Luis Gautier

Economics Faculty Research & Creative Works

This study examines how uncertainty in renewable integration costs affects the profitability of mergers among energy producers. As the energy sector shifts toward decentralized renewables, centralized producers face industry-wide and firm-specific cost uncertainties due to the variable and intermittent nature of distributed generation. Although previous models have examined mergers in the presence of greener energy, they have largely assumed deterministic costs and ignored the impact of the dual sources of uncertainty on merger profitability. This study incorporates both industry-wide and private shocks into renewable integration costs, using two theoretical models – without and with uncertainty – to identify how these …

Digital Regulation And Development: A Global Micro And Macro Comparison, Katrin Kuhlmann

Georgetown Law Faculty Publications and Other Works

Regulation of the digital economy is receiving increased attention both domestically and internationally, but too little scholarship exists assessing the degree to which these new rules effectively support economic, social, and sustainable development. This Article advances a micro-macro framework for assessing digital regulation and its development dimension, including digital inclusion and measures to address the digital divide, the protection of human rights, and the operationalization of the United Nations’ Sustainable Development Goals. In doing so, it incorporates a “micro international law” methodology to compare domestic legal design features and trace their diffusion into regional trade agreements and, in turn, into …

Beyond Democracy: How A Free Press Supports The Rule Of Law, Erin C. Carroll

Georgetown Law Faculty Publications and Other Works

Widespread agreement has existed for centuries that a free press is essential to democracy. But legal scholars have spent almost no effort thinking about why else we might need a free press. This article attempts to widen the aperture. It argues that as the free press is essential to democracy, it is just as essential to a separate value: the rule of law.

Recognizing and investigating the connections between the free press and the rule of law is essential right now. It can help us discern how the press can create friction against the erosion of both rule of law …

How The Billable Hour Can Survive Generative Ai, Jonah Perlin

Georgetown Law Faculty Publications and Other Works

The legal profession is rapidly adopting generative AI technology. With this shift has come an increasingly common assumption that generative AI will significantly reduce or even bring an end to hourly billing. The logic underlying this conclusion seems intuitive: if AI reduces the time lawyers spend on certain tasks while eliminating others altogether, then the total number of billable hours will fall. That decline, in turn, could threaten the financial viability of hourly billing, despite its place as the dominant law firm compensation model over the past half century.

This Article challenges this assumption. It argues instead that the billable …

Fairer Public Benefit In Copyright Law, Amanda Levendowski Tepski

Georgetown Law Faculty Publications and Other Works

In 1966, a court considered expressly whether a secondary use of copyrighted works served a public benefit. While public benefit has become a subfactor of the fair use doctrine, it remains undefined, uncodified, and undertheorized. Courts often invoked public benefit in pivotal cases involving novel technologies, from home video recorders to digital libraries to algorithms--but they did not need to. After the recent Supreme Court decision in Google v. Oracle, however, public benefit is unavoidable: The Court stated that “we must take into account the public benefits the copying will likely produce.” A qualitative analysis of key public benefit cases …

Repeated Withdrawal Of A Glpr Agonist Induces Hyperleptinemia And Deteriorates Metabolic Health In Obese Aging Um-Het3 Mice, Nisi Jiang, Jiyuan Yin, Noah Lawrence, Jieyi Meng, Laurence T Maeyens, Ziying Xu, Xin Li, Mbolle Ekane, Ariana Chaudhary, Pengju Cao, Guannan Li, Carolina Solis-Herrera, Yi Zhu, Shangang Zhao

Children’s Nutrition Research Center Staff Publications

GLP-1-based therapy is highly effective in combating aging-associated metabolic diseases. However, the metabolic effects of frequent withdrawal from this therapy in aged, obese mice have not been previously studied. In this study, aged obese UM-HET3 mice were assigned to three groups: Group 1 received no liraglutide treatment (Lira OFF); Group 2 underwent 3 cycles of treatment followed by withdrawal (Lira ON/OFF); and Group 3 remained on continuous treatment (Lira ON). As expected, mice in Group 3 showed reduced body weight and food intake, along with improved metabolic health. In contrast, mice in Group 2 developed hyperleptinemia and visceral fat expansion, …

Changes In Antiviral Prescribing For Children With Influenza In Us Emergency Departments., Tess Stopczynski, Olla Hamdan, Justin Z. Amarin, James W. Antoon, Laura S. Stewart, Haya Hayek, James Chappell, Andrew J. Spieker, Eileen J. Klein, Janet A. Englund, Geoffrey A. Weinberg, Peter G. Szilagyi, John V. Williams, Marian G. Michaels, Julie A. Boom, Leila C. Sahni, Mary Allen Staat, Elizabeth P. Schlaudecker, Jennifer E. Schuster, Rangaraj Selvarangan, Ayzsa Tannis, Heidi L. Moline, Samantha M. Olson, Natasha B. Halasa

Manuscripts, Articles, Book Chapters and Other Papers

IMPORTANCE: Despite national recommendations, antiviral prescribing in emergency departments (EDs) for children at higher risk of severe influenza, such as those younger than 5 years and those with specific underlying conditions, remains low.

OBJECTIVE: To assess whether there were changes in antiviral prescribing for children at higher risk of severe influenza in academic pediatric EDs before the COVID-19 pandemic (2016-2020) vs the late pandemic period (2021-2023).

DESIGN, SETTING, AND PARTICIPANTS: This multicenter, cross-sectional study included influenza-positive children younger than 18 years presenting to the ED at 1 of 7 US pediatric academic hospitals participating in the Centers for Disease Control …