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Assessment of the Agreement of the Modified Mediterranean Prime Screen with a Reference Food Frequency Questionnaire in Estimating Macronutrient Intake in Adults in Lebanon
No full textThe accurate assessment of dietary intake is a critical step in addressing the rising burden
of non-communicable diseases (NCDs), particularly in middle-income countries like
Lebanon undergoing rapid nutritional transition. This study aimed to evaluate the validity
and reproducibility of the culturally adapted Modified Mediterranean Prime Screen
(MMPS) tool in estimating macronutrient intake among adults in Lebanon.
Adults aged 18 to 64 years were recruited from two hospital sites in Beirut and Mount
Lebanon following a quota mimicking the characteristics of the Lebanese population.
Dietary intake was assessed through two administrations of the MMPS and the FFQ.
Reproducibility was tested using intraclass correlation coefficients (ICC) between
repeated administrations, while validity was assessed by comparing MMPS to FFQ using
ICCs and visual inspection of Bland-Altman plots. A total of 214 participants were recruited (mean age: 38.9 years; 65.4% female). The
MMPS demonstrated high reproducibility across most macronutrients, with adjusted
ICCs ranging from 0.306 for carbohydrates to 0.909 for polyunsaturated fatty acids
(PUFAs). Validity analysis showed moderate agreement with the reference FFQ, with the
highest adjusted ICCs observed for protein (0.512), total sugar (0.508), and energy
(0.487). However, the agreement for fatty acids was not statistically significant. Bland-
Altman analyses revealed modest mean differences but wide limits of agreement.
MMPS demonstrated strong reproducibility and acceptable validity for assessing
macronutrient intake in adults living in Lebanon. Its brevity and cultural specificity make it a promising tool for use in clinical and public health settings where time and resources
are limited
دولورس
No full textمسرحية من إنتاج طلابي، الخميس، 27 شباط 2025، الساعة 7:00 مساء على مسرح غلبنكيان، حرم الجامعة في بيروت؛ كتابة إدوارد آلان بايكر؛ إخراج ليا الحكي
High order ImEx method for the shallow water model
Full text linkThis poster is devoted to the development and analysis of a robust and efficient high order numerical scheme for the shallow water flows in the low Froude number limit. We focus on ocean and coastal simulations at different scales, in particular, on the variation of the Froude number that goes from 1 at the coastline to two or three orders less offshore. Due to the great ocean’s depth, classical hyperbolic schemes like Riemann solvers are not efficient [1]. In order to propose an efficient method in such regime, a part of the system has to be considered implicitly, leading to an ImEx (Implicit Explicit) scheme. In order to limit the size and number of linear systems to be solved, the CPR scheme [2] is a good first order candidate. The CPR approach is a fully diagonal segregated method which only relies on the implicit treatment of the water height and hybrid mass fluxes using explicit velocities. The method allows to avoid resolution of large linear systems. Concerning the high order in time integration, several Runge-Kutta schemes can be found in the literature [3] in the context of ImEx schemes, however to limit the number of linear systems to solve, we focus on Cranck Nicolson schemes. For the space discretization, a classical second order MUSCL reconstruction is used. We finally show, thanks to one-and two-dimensional test cases, that the developed scheme achieves the theoretical second-order rate of convergence. Furthermore, we conduct a comparative analysis of CPU times between the ImEx and explicit schemes, revealing important computational savings with the ImEx scheme particularly under the low Froude regime
Assessing the Value of Microlearning for Tutoring in Higher Education
No full textThis research examines the role of Microlearning as part of tutoring to enhance academic comprehension in Organic Chemistry in higher education. Microlearning is characterized by segmenting material into very small learning elements such as PDFs, 1-2min streaming videos, voice notes, and online polls, all designed to minimize the use of internet bandwidth. This study employs a cross-sectional quantitative experimental approach where students enrolled in organic chemistry tutoring participate in either a standard online learning tutorial session or a microlearning tutorial session. Both groups completed a pre-assessment, received the same concepts through the modality of their assigned group, and completed a post-assessment. Specifically, one group received the material through a microlearning experience while the other group received the same material following a standard online learning experience. Overall, three experiments were conducted. To compare the level of comprehension, all participants filled out a pre- and post-assessment form that included the same ten, randomly selected questions from the American Chemical Society (ACS) test bank. Through a statistical comparison of the results, we find that on average there is a significant improvement in assessment scores from pre- to post-assessment, yet there is no statistically significant difference in the performance gain between the microlearning and standard online learning groups. This points to the viability of microlearning as a substitute or complement to traditional learning. Moreover, interviews were conducted with faculty instructors, tutors and students to gain further insights about microlearning and tutoring. The interviews similarly indicate the value of microlearning as a complement to traditional strategies
Intersectionality in U.S. Political Discourse: A Critical Analysis of Harris and Trump’s Rhetoric during the 2024 Presidential Election
No full textAs the first woman of African American and South Asian origins to become a Vice President and a major party’s presidential candidate in America’s history, Kamala Harris represents an important case for exploring how political discourse negotiates ideological and power structures, and how intersectional identity constructs can be leveraged through rhetoric. Donald Trump’s political profile and rhetoric represent a counterpoint to examine how hegemonic identity-based politics are mobilized across the American political spectrum. By comparing Harris’ and Trump’s discoursal performances during the 2024 presidential election, this study seeks to analyze how gender, race, and class among other social categories intersect to shape political discourse in the US. It is an attempt to investigate how Harris navigated the power structures that mark American politics and employed her intersectional identity as a woman of color in her rhetoric and how Trump used his narrative as a White man. Using Critical Discourse Analysis as the primary methodological framework, this study analyzes the Harris-Trump debate in addition to eight speeches from each candidate based on intersectionality theory to interrogate how overlapping identities affect the negotiation of power and production of political discourse in contemporary America
The Role of Youth Transformational Leadership in Fostering Academic Resilience and Achievement: A Case Study in a Lebanese School
No full textTransformational leadership, characterized by youth motivation and their will to change, has been recognized for its potential influence and impact on learners’ ability to overcome academic challenges and enhance their performance. This study examines the role of youth transformational leadership in fostering academic resilience and achievement in a Lebanese school. Using a mixed-methods approach, this research integrates qualitative data collection conducted through interviews and observations for student leaders, with quantitative data collection collected through surveys administered to students to assess the correlations between transformational leadership traits, academic resilience, and achievement. The findings show a positive correlation between youth transformational leadership and academic resilience. Findings further indicate that students who exhibit leadership behaviors, such as collaborative problem-solving, initiative taking, and peer support, are more likely to persevere through academic challenges, and encourage resilience among their peers. Additionally, qualitative insights indicate that student leaders promote self-directed learning, motivation, and supportive classroom environments that enhance collective academic performance.
The study highlights the importance of embedding youth leadership development programs within schools to empower students with the needed skills to overcome academic and personal challenges. It suggests that mentoring programs and leadership initiatives can promote individual academic success, and also strengthen school-level resilience and achievement. These findings offer valuable suggestions for educators, school leaders, and policymakers who aim to build inclusive, achievement-oriented learning environments through youth empowerment
After generative AI : preparing faculty to transform education, learning, and pedagogy
No full textIn a landscape where technological advancements are disrupting and reshaping the educational paradigm, After Generative AI serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From ChatGPT, to Bard, to CANVA, educators are seeking practical insights into how to harness the power of GAI effectively. After Generative AI provides a consolidated, accessible resource that caters to students and faculty, providing them with the knowledge and strategies to thrive in an AI-enhanced educational environment. Each chapter demystifies GAI for educators and learners alike, offering a clear and accessible explanation of the basics, applications, and implications of GAI in education. This is a foundational understanding for readers, ensuring they are equipped to make informed decisions about integrating GAI into their teaching and learning processes. Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. After Generative AI fills a crucial gap in the literature by providing a practical, insightful, and forward-looking guide to GAI in education. Through comprehensive coverage, real-world examples, and ethical considerations, educators will feel empowered and learners ready to embrace GAI's transformative potential while responsibly navigating its challenges.240 pagesIncludes bibliographical references
Health conditions, health literacy, access to care, and health care experiences among lesbian, gay, bisexual, transgender and queer adults in Lebanon
Full text linkBackground
This study aims to assess the physical health of individuals belonging to the lesbian, gay, bisexual, transgender, and queer (LGBTQ) community, considering health system challenges like access to care and patient experiences and community-specific attributes like health literacy and self-acceptance.
Methods
This cross-sectional study was conducted in January-June 2022 using non-probabilistic sampling. The survey collected sociodemographic characteristics, information on access to care and patient experiences, prevalence of chronic conditions, sexually transmitted infections (STIs), and health literacy levels. The inclusion criteria required participants to be of Lebanese nationality, at least 18 years old, and to identify as part of the LGBTQ community. Descriptive statistics summarized the data. Two sample t-tests and chi-square tests were used to examine associations between variables.
Results
A total of 496 participants took the survey, with a majority identifying as bisexual (38.5%) or gay (35.1%). Around 41.1% reported at least one chronic condition. Difficulty accessing healthcare was experienced by 37.7%, with 11.1% reporting a negative patient experience. Participants who reported experiencing discrimination were significantly more likely to delay seeking health services (p < 0.001), with transgender-identifying participants experiencing significantly more discrimination that non-transgender-identifying participants. Regarding sexual health, 15.7%, of those who tested, reported at least one STI. Their preferred testing sites were Non-Governmental Organizations (59.3%). Adequate health literacy level was significantly associated with STI testing (t = 3.34, p < 0.01) and chronic disease (t = 3.76, p < 0.01).
Conclusion
Our findings underscore the importance of inclusive healthcare policies that address discriminatory experiences in healthcare settings and the need for targeted evidence-based interventions to improve health outcomes among LGBTQ individuals.Publishe
Influenza vaccine hesitancy and its determinants among Lebanese public transportation drivers
Full text linkIntroduction
According to the National Institute for Occupational Safety and Health, ensuring influenza vaccination for public transportation drivers is considered a public health objective, given that these drivers are at high risk of contracting influenza. The main purpose of this cross-sectional study is, thus, to evaluate influenza vaccine hesitancy (VH) and its determinants among a representative sample of Lebanese public transportation drivers.
Methods
A survey questionnaire is conducted between January and March 2023, with the participation of a proportionate purposeful sample of 509 drivers from various regions in Lebanon. Study exposures include socio-demographics, health/work related variables, past experiences, knowledge and fatalistic views. VH and Vaccination Attitudes Examination (VAX) scales (score range 1 to 5 each) are used to measure study outcomes. Descriptive and bivariate statistical analyses, followed by ordinal and linear regression analyses are performed. Statistical significance is set at P < 0.025 (two sided).
Results
The vast majority of study participants (n = 499, 98 %) are males. Their age mean is 44.7 ± 12.6 years, while the mean duration of their work in public transportation is 11.5 ± 10.1 years. Results show vaccine hesitancy in terms of influenza risk calculation (3.27 ± 1.28), preference to natural immunity over influenza vaccines (3.23 ± 1.14) and vaccine constraints (2.83 ± 1.38). As for concerns regarding commercial profiteering behind influenza vaccines, the mean score of agreement with vaccines is 2.77 ± 1.10, while the mean score of lack of trust in vaccine safety is 2.70 ± 1.32.
Conclusions
Influenza VH among public transportation drivers in Lebanon is evident. Although a significant number of drivers are willing to be vaccinated, hesitancy often delays their decision. Study findings can inform influenza vaccination campaigns and syndicates regarding the need to raise awareness about influenza vaccine benefits among drivers and alleviate their hesitancies prior the upcoming flu season.Publishe
مسرحية أبو الزوس
No full textBased on the play "God" by Woody Allen؛ إقتباس وإخراج لينا خوري؛ تمثيل طارق تميم، وفاء حلاوي، سنيّ عبد الباقي، طلال الجردي، وآخرون؛ تصميم منى كنيعو، وآخرون. عرضت على مسرح غلبنكيان، حرم الجامعة في بيروت، 24، 25 تشرين الثاني - 1، 2، 10-13 كانون الأول 2025. عروض إضافية، 15-18 كانون الثاني 2026، الساعة الثامنة مساءً؛ Major Theater Productio