Search results for: Suflan Faidzal Arshad

Authors: Anubhav Kumar Dwivedi, Arshad Khan, S. N. Tripathi, Manish Joshi, Gaurav Mishra, Dinesh Nath, Naveen Tiwari, B. K. Sapra

Abstract:

In a nuclear reactor accident scenario, a large number of fission products may release to the piping system of the primary heat transport. The released fission products, mostly in the form of the aerosol, get deposited on the inner surface of the piping system mainly due to gravitational settling and thermophoretic deposition. The removal processes in the complex piping system are controlled to a large extent by the thermal-hydraulic conditions like temperature, pressure, and flow rates. These parameters generally vary with time and therefore must be carefully monitored to predict the aerosol behavior in the piping system. The removal process of aerosol depends on the size of particles that determines how many particles get deposit or travel across the bends and reach to the other end of the piping system. The released aerosol gets deposited onto the inner surface of the piping system by various mechanisms like gravitational settling, Brownian diffusion, thermophoretic deposition, and by other deposition mechanisms. To quantify the correct estimate of deposition, the identification and understanding of the aforementioned deposition mechanisms are of great importance. These mechanisms are significantly affected by different flow and thermodynamic conditions. Thermophoresis also plays a significant role in particle deposition. In the present study, a series of experiments were performed in the piping system of the National Aerosol Test Facility (NATF), BARC using metal aerosols (zinc) in dry environments to study the spatial distribution of particles mass and number concentration, and their depletion due to various removal mechanisms in the piping system. The experiments were performed at two different carrier gas flow rates. The commercial CFD software FLUENT is used to determine the distribution of temperature, velocity, pressure, and turbulence quantities in the piping system. In addition to the in-built models for turbulence, heat transfer and flow in the commercial CFD code (FLUENT), a new sub-model PBM (population balance model) is used to describe the coagulation process and to compute the number concentration along with the size distribution at different sections of the piping. In the sub-model coagulation kernels are incorporated through user-defined function (UDF). The experimental results are compared with the CFD modeled results. It is found that most of the Zn particles (more than 35 %) deposit near the inlet of the plenum chamber and a low deposition is obtained in piping sections. The MMAD decreases along the length of the test assembly, which shows that large particles get deposited or removed in the course of flow, and only fine particles travel to the end of the piping system. The effect of a bend is also observed, and it is found that the relative loss in mass concentration at bends is more in case of a high flow rate. The simulation results show that the thermophoresis and depositional effects are more dominating for the small and larger sizes as compared to the intermediate particles size. Both SEM and XRD analysis of the collected samples show the samples are highly agglomerated non-spherical and composed mainly of ZnO. The coupled model framed in this work could be used as an important tool for predicting size distribution and concentration of some other aerosol released during a reactor accident scenario.

Keywords: aerosol, CFD, deposition, coagulation

Procedia PDF Downloads 144

Authors: Awatef Ahmed Ben Ramadan, Aqsa Arshad

Abstract:

Background: There is a huge Muslim migration movement to North America and Europe for several reasons, primarily refuge from war areas and partly to search for better work and educational chances. There are always concerns regarding first-Generation Immigrant women's health and computer literacy, an adequate understanding of the health systems, and the use of the existing healthcare technology and services effectively and efficiently. Language proficiency level, preference for cultural and traditional remedies, socioeconomic factors, fear of stereotyping, limited accessibility to health services, and general unfamiliarity with the existing health services and resources are familiar variables among these women. Aims: The current study aims to assess the health and digital literacy of first-generation Muslim women in Atlanta city. Also, the study aims to examine how the COVID-19 pandemic has encouraged the use of health information technology and increased technology awareness among the targeted women. Methods: The study design is cross-sectional correlational research. The study will be conducted to produce preliminary results that the investigators want to have to supplement an NIH grant application about leveraging information technology to reduce the health inequalities amongst the first-generation immigrant Muslim women in Atlanta City. The investigators will collect the study data in two phases using different tools. Phase one was conducted in June 2022; the investigators used tools to measure health and digital literacy amongst 42 first-generation immigrant Muslim women. Phase two was conducted in November 2022; the investigators measured the Knowledge, Attitude, and Practice (KAP) of using health information technology such as telehealth from a sample of 45 first-generation Muslim immigrant women in Atlanta; in addition, the investigators measured how the current pandemic has affected their KAP to use telemedicine and telehealth services. Both phases' study participants were recruited using convenience sampling methodology. The investigators collected around 40 of 18 years old or older first-generation Muslim immigrant women for both study phases. The study excluded Immigrants who hold work visas and second-generation immigrants. Results: At the point of submitting this abstract, the investigators are still analyzing the study data to produce preliminary results to apply for an NIH grant entitled "Leveraging Health Information Technology (Health IT) to Address and Reduce Health Care Disparities (R01 Clinical Trial Optional)". This research will be the first step of a comprehensive research project to assess and measure health and digital literacy amongst a vulnerable community group. The targeted group might have different points of view from the U.S.-born inhabitants on how to: promote their health, gain healthy lifestyles and habits, screen for diseases, adhere to health treatment and follow-up plans, perceive the importance of using available and affordable technology to communicate with their providers and improve their health, and help in making serious decisions for their health. The investigators aim to develop an educational and instructional health mobile application considering the language and cultural factors that affect immigrants' ability to access different health and social support sources, know their health rights and obligations in their communities, and improve their health behavior and behavior lifestyles.

Keywords: first-generation immigrant Muslim women, telehealth, COVID-19 pandemic, health information technology, health and digital literacy

Procedia PDF Downloads 86

Authors: K. Ghosh, S. N. Tripathi, Manish Joshi, Y. S. Mayya, Arshad Khan, B. K. Sapra

Abstract:

We have developed a CFD coupled aerosol microphysics model in the context of aerosol generation from a glowing wire. The governing equations can be solved implicitly for mass, momentum, energy transfer along with aerosol dynamics. The computationally efficient framework can simulate temporal behavior of total number concentration and number size distribution. This formulation uniquely couples standard K-Epsilon scheme with boundary layer model with detailed aerosol dynamics through residence time. This model uses measured temperatures (wire surface and axial/radial surroundings) and wire compositional data apart from other usual inputs for simulations. The model predictions show that bulk fluid motion and local heat distribution can significantly affect the aerosol behavior when the buoyancy effect in momentum transfer is considered. Buoyancy generated turbulence was found to be affecting parameters related to aerosol dynamics and transport as well. The model was validated by comparing simulated predictions with results obtained from six controlled experiments performed with a laboratory-made hot wire nanoparticle generator. Condensation particle counter (CPC) and scanning mobility particle sizer (SMPS) were used for measurement of total number concentration and number size distribution at the outlet of reactor cell during these experiments. Our model-predicted results were found to be in reasonable agreement with observed values. The developed model is fast (fully implicit) and numerically stable. It can be used specifically for applications in the context of the behavior of aerosol particles generated from glowing wire technique and in general for other similar large scale domains. Incorporation of CFD in aerosol microphysics framework provides a realistic platform to study natural convection driven systems/ applications. Aerosol dynamics sub-modules (nucleation, coagulation, wall deposition) have been coupled with Navier Stokes equations modified to include buoyancy coupled K-Epsilon turbulence model. Coupled flow-aerosol dynamics equation was solved numerically and in the implicit scheme. Wire composition and temperature (wire surface and cell domain) were obtained/measured, to be used as input for the model simulations. Model simulations showed a significant effect of fluid properties on the dynamics of aerosol particles. The role of buoyancy was highlighted by observation and interpretation of nucleation zones in the planes above the wire axis. The model was validated against measured temporal evolution, total number concentration and size distribution at the outlet of hot wire generator cell. Experimentally averaged and simulated total number concentrations were found to match closely, barring values at initial times. Steady-state number size distribution matched very well for sub 10 nm particle diameters while reasonable differences were noticed for higher size ranges. Although tuned specifically for the present context (i.e., aerosol generation from hotwire generator), the model can also be used for diverse applications, e.g., emission of particles from hot zones (chimneys, exhaust), fires and atmospheric cloud dynamics.

Keywords: nanoparticles, k-epsilon model, buoyancy, CFD, hot wire generator, aerosol dynamics

Procedia PDF Downloads 143

Authors: Jenny Carpenter, Josh Chan, Persephone MacKinlay, Madeline Chiang, Devlyn Sun, Hiba Syed, Jana Lau, Mariam Arshad, Joy Xu

Abstract:

Introduction: Psoriasis is a chronic inflammatory skin condition that affects 1 million Canadians and over 8 million Americans. It is associated with psychosocial challenges exacerbated by the presence of visible lesions, which can lead to feelings of embarrassment and social discomfort. Children often experience bullying and lower self-esteem, while adults face workplace discrimination, impaired productivity, and higher rates of comorbid mental health conditions. Understanding these impacts across age groups is vital for tailored interventions. Objective: The main objective is to compare the longitudinal psychological impact of psoriasis between adults and children in Canada and the United States. Methods: This systematic review was conducted following PRISMA guidelines and a PROSPERO-registered protocol. Studies were identified from PubMed, Scopus, ProQuest, PsycINFO, Dermatology Online Journal, JMIR Dermatology, and Embase. The included studies were published between 2014 and 2024, measured standardized psychological outcomes, and had a longitudinal design with at least a one-year follow-up period. Methodological quality was assessed using the GRADE tool. Results: Fifteen studies encompassing 67,964 participants (mean age 49.1 years, 53.3% female) were included. Adults with moderate-to-severe psoriasis demonstrated significant impairments in Dermatology Life Quality Index (DLQI) scores, with a mean baseline score of 9.0 to 10.2 for severe cases, reflecting moderate-to-severe quality of life (QoL) impairments. Treatment with biologic therapies significantly improved outcomes, with DLQI scores decreasing by an average of 7 points (from 9.6 to 2.6; p < 0.001). Key areas of improvement included social functioning, reduced physical symptoms, and increased work productivity. In severe cases, DLQI scores were 7.95 points higher compared to mild cases (p < 0.05), indicating a disproportionate burden of disease severity. Anxiety and depression were common in adults, affecting 16-23% and 18-22%, respectively. These conditions were linked to visible lesions, social stigma, and comorbidities such as hypertension and metabolic syndrome. Children with psoriasis also exhibited similar impairments in QoL, as assessed by the Children’s Life Quality Index (CLDQI). Visible lesions negatively affected school participation and peer interactions, with bullying and stigma consistently reported as major contributors to social isolation and emotional distress. Although biological therapies improved CDLQI scores, children faced persistent challenges in psychological well-being, including lower self-esteem and stigma, which often persisted in adolescence. Disease severity was quantified using the Psoriasis Area and Severity Index (PASI). Among adults, severe cases had a mean baseline PASI score of 13.9, improving by 87.1% (to 1.8, p < 0001) following biologic therapy. Canadian cohorts showed greater PASI improvements, with biologic-naive adults achieving a 95.1% reduction (from 16.3 to 0.7, p < 0.0001). Canadian patients also had higher biologic continuation rates (89.9%). Conclusion: Psoriasis significantly impacts quality of life and psychological well-being across age groups, with notable differences in outcomes between adults and children. Regional differences further highlighted greater work-related impairments in U.S. adults and more pronounced psychological challenges in Canadian children, where bullying and stigma delayed recovery. These findings emphasize the need for age- and region-specific strategies to address both the physical and psychosocial dimensions of psoriasis and support long-term well-being.

Keywords: psoriasis, psychological impact, mental health, quality of life, self-esteem, autoimmune, chronic skin condition

Procedia PDF Downloads 15