- Research Article
- 10.1182/blood-2025-6668
Phenotype–Genotype characterization of inherited Protein C deficiency in a qatari family
- Nov 03, 2025
- Blood
- Sara Jemmieh + 11 more +11
Publications from 2021 to 2026
Showing 10 of 37 papers
Phenotype–Genotype characterization of inherited Protein C deficiency in a qatari family
Unmasking PNH: Epidemiological and clinical insights from Qatar
ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
This paper reports IEEE International Conference on Multimedia … Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. Existing VQA models often struggle to deliver consistent performance across varying dynamic ranges, distortion types, and diverse content. This challenge was established to benchmark and promote VQA approaches capable of jointly handling HDR and SDR content. In the final evaluation phase, five teams submitted seven models along with technical reports to the Full Reference (FR) and No Reference (NR) tracks. Among them, four methods outperformed VMAF baseline, while the top-performing model achieved state-of-the-art performance, setting a new benchmark for generalizable video quality assessment.
Read moreRegenerative Tourism – The Concept of Moving Beyond Responsible and Sustainable Tourism
Abstract This chapter explores the concept of regenerative tourism as a sustainable approach to travel and destination development. It examines the interconnectedness of regenerative agriculture and tourism, incorporating the adaptive cycle model and principles from the regenerative development framework. The chapter proposes a conceptual framework comprising five design dimensions: regeneration mindset, inherent potential, systems capability, intended system effects and tasks and resources. These dimensions guide the design and development of regenerative tourism interventions, aiming to shift the tourism regime towards regeneration. The chapter highlights the importance of adopting an ecological worldview, discovering the unique potential of each place, leveraging tourism living systems, creating regenerative places and communities and collaborating to enact regenerative approaches. Regenerative tourism offers solutions for rethinking and rebuilding the tourism industry, enhancing local economies, preserving cultures and biodiversity and providing transformative experiences for guests. The descriptive methodology allows for a comprehensive exploration and explanation of the conceptual framework and its potential implications for the tourism industry. It serves to inform readers about the key concepts, principles and dimensions of regenerative tourism, facilitating a better understanding of its theoretical foundations and practical applications. The chapter concludes that regenerative tourism requires a change in the economic model and societal perspective, focusing on qualitative development and improving human well-being through ecosystem health. It recommends the adoption of regenerative practices, emphasizing the positive impacts on destinations and stakeholders. Future directions include further research on regenerative tourism's effectiveness, exploring innovative strategies and technologies and fostering collaboration among stakeholders to enhance its implementation.
Read moreState Aspirations for Social and Cultural Transformations in Qatar
Qatar is on a mission to cultivate a thriving, globally competitive, knowledge-based economy, shifting away from its rentier economic model, as well as being a key international player on the world stage. This article focuses on Qatar’s social and cultural sphere, exploring the Qatari state’s vision for society in the midst of these grand agendas. Through a systematic analysis of six key national documents (KNDs), such as the Qatar National Vision 2030 and the National Development Strategy, it extracts the state’s aspirations for its society, as well as the values or traits they are attempting to preserve or inculcate. We identify five key overarching themes in the KNDs: (1) the advancement of society; (2) the preservation of traditions and values; (3) keeping up with the Gulf, Arab and Islamic countries and the world; (4) the empowerment of women; and (5) the importance of the family. The paper concludes with an assessment of some top-down initiatives and policies that were designed to achieve these ambitious agendas, and highlights some of their pitfalls. These issues include a lack of civic participation and engagement; the need for more localisation and indigenous social innovation; and, lastly, more attention given to social dynamics, including their inter- and intra-relations, which often lead to unintended consequences.
Read moreSub-ppm of toxic gases detection on Ag-doped WO3 nanosensor
Recent investigations reveal an increasing interest in detecting toxic substances that, if present in the environment at low concentrations, can cause serious health conditions. Moreover, some of these toxic substances can be found as gases in human breath due to disease. Nanomaterial-based sensors have emerged as a crucial area of research for this purpose. This study focuses on silver-doped tungsten oxide nanoparticles (Ag/WO3) as nanosensors capable of detecting trace amounts of toxic gases at room temperature. These gases include Hydrogen sulfide (H2S), as well as other toxic gases like acetone, Ammonia (NH3), Ethanol (C2H5OH), and Acetone ((CH3)2CO). The gas-sensing behavior of Ag/WO3 nanosensors was investigated at extremely low concentrations of these gases. X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET) surface, X-ray photoelectron spectroscopy (XPS), and transmission electron microscopy (TEM) were employed to analyze the material's structure and chemical state. The sensor exhibited sensitivity to gas concentrations as low as 0.25 ppm, with a robust response of up to 80%. Notably, it showed the highest selectivity toward H2S gas compared to ethanol, ammonia, and acetone. The sensor's performance was also evaluated under varying temperatures and humid conditions, demonstrating reliable responses at room temperature. Heron, the synthesis of Ag/WO3 sensors with excellent sensitivity at extremely low gas concentrations is reported, making this sensor a promising tool for detecting toxic gases that threaten human health. Furthermore, the potential implications of this research on human health are significant, as detecting low concentrations of these gases can be a potential tool for the diagnostic process as well as health and environmental monitoring.
Read moreSimulating a Two-Arm Random Allocation Model Using a Bayesian Dynamic Linear Model Approach
Random allocation models used in clinical trials can help reduce the between group bias which may occur when comparing multiple treatment groups to determine the preferred treatment method. Often however, this determination leaves researchers battling ethical issues of providing patients with unfavorable treatments. Many methods such as Play the Winner and Randomized Play the Winner Rule have historically been utilized to determine patient allocation, yet, these methods are prone to increased unfavorable assignments. Recently a new Bayesian Method using Decreasingly Informative Priors has been proposed but, this method can be time consuming when multiple individual Markov Chain Monte Carlo (MCMC) updating methods are required. We present an experimental design study via simulation using Dynamic Linear Models as an alternative method to increase allocation speed while also decreasing patient allocation samples necessary to identify the more favorable outcome and we illustrate the effectiveness of this new method. Furthermore, a sensitivity analysis is conducted on multiple parameters to demonstrate the method is robust. Finally, a Bayes Factor criterion is used to determine termination through decisive evidence in favor of the better treatment assignment.
Read moreInvestigation of palladium catalysts in mesoporous silica support for CO oxidation and CO2 adsorption
The oxidation of Carbon monoxide (CO) to Carbon dioxide (CO2) is one of the most extensively investigated reactions in the field of heterogeneous catalysis, and it occurs via molecular rearrangements induced by catalytic metal atoms with oxygen intermediates. CO oxidation and CO2 capture are instrumental processes in the reduction of green-house gas emissions, both of which are used in low-temperature CO oxidation in the catalytic converters of vehicles. CO oxidation and CO2 adsorption at different temperatures are evaluated for palladium-supported silica aerogel (Pd/SiO2). The synthesized catalyst was active and stable for low-temperature CO oxidation. The catalytic activity was enhanced after the first cycle due to the reconditioning of the catalyst’s pores. It was found that the presence of oxide forms of palladium in the SiO2 microstructure, influences the performance of the catalysts due to oxygen vacancies that increases the frequency of active sites. CO2 gas adsorption onto Pd/SiO2 was investigated at a wide-ranging temperature from 16 to 120 °C and pressures ∼1 MPa as determined from the isotherms that were evaluated, where CO2 showed the highest equilibrium adsorption capacity at 16 °C. The Langmuir model was employed to study the equilibrium adsorption behavior. Finally, the effect of moisture on CO oxidation and CO2 adsorption was considered to account for usage in real-world applications. Overall, mesoporous Pd/SiO2 aerogel shows potential as a material capable of removing CO from the environment and capturing CO2 at low temperatures.
Read moreModel Validation of a Single Degree-of-Freedom Oscillator: A Case Study
In this paper, we investigate a validation process in order to assess the predictive capabilities of a single degree-of-freedom oscillator. Model validation is understood here as the process of determining the accuracy with which a model can predict observed physical events or important features of the physical system. Therefore, assessment of the model needs to be performed with respect to the conditions under which the model is used in actual simulations of the system and to specific quantities of interest used for decision-making. Model validation also supposes that the model be trained and tested against experimental data. In this work, virtual data are produced from a non-linear single degree-of-freedom oscillator, the so-called oracle model, which is supposed to provide an accurate representation of reality. The mathematical model to be validated is derived from the oracle model by simply neglecting the non-linear term. The model parameters are identified via Bayesian updating. This calibration process also includes a modeling error due to model misspecification and modeled as a normal probability density function with zero mean and standard deviation to be calibrated.
Read moreLie subalgebras of so(3,1) up to conjugacy
PurposeThis study aims to find all subalgebras up to conjugacy in the real simple Lie algebra so(3,1).Design/methodology/approachThe authors use Lie Algebra techniques to find all inequivalent subalgebras of so(3,1) in all dimensions.FindingsThe authors find all subalgebras up to conjugacy in the real simple Lie algebra so(3,1).Originality/valueThis paper is an original research idea. It will be a main reference for many applications such as solving partial differential equations. If so(3,1) is part of the symmetry Lie algebra, then the subalgebras listed in this paper will be used to reduce the order of the partial differential equation (PDE) and produce non-equivalent solutions.
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