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Despite the exceptionally high prevalence of tobacco use in Lebanon, few cessation programs exist. The American University of Beirut (AUB) developed one of the first smoking-cessation programs in the country in 2015, and the program became free-of-charge to patients in 2018. The program offers initial visit(s) with a primary care provider, in-person and/or telephone counseling, acupuncture, and medications.<br /><br /> We assessed patient characteristics, treatments used, and patient outcomes in the first year of implementing the free smoking-cessation program, compared to the original program. We compared 87 smokers who initiated treatment in the free program with 47 patients in the original program.<br /><br /> At baseline, smokers in the free program were younger, smoked fewer cigarettes per day, and had lower CO levels than smokers in the original program. At 1 month follow-up, 72.9% were abstinent in the free program, compared with 42.2% in the original program (p&lt;0.001). Smokers who had ≥2 primary care visits and those who had ≥1 acupuncture visits had higher rates of abstinence at 1 month and those who were prescribed bupropion had higher rates of abstinence at 12 months.<br /><br /> Implementation of the free smoking cessation program demonstrates preliminary efficacy, with telephone support offering potential for scalability.<br /><br />Implementation of the free smoking cessation program demonstrates preliminary efficacy, with telephone support offering potential for scalability.<br /><br /> Novel tobacco products are becoming more popular in the Middle East and especially in Saudi Arabia. We studied the prevalence of midwakh pipe (tobacco smoking pipe) use among students at Qassim University and evaluated factors associated with midwakh pipe usage.<br /><br /> A cross-sectional study was conducted using a self-administered questionnaire to collect the data. The participants were male students from Qassim University, Al-Qassim, Saudi Arabia. Data were collected over the period from May to June 2018. A multivariable logistic regression model was used to identify sociodemographic factors and smoking history related to midwakh smoking.<br /><br /> A total of 316 responses were collected; 7.9% (n=25) were midwakh smokers at some point, and 3.8% (n=12) were current midwakh smokers. Multivariable logistic regression indicated that the significant predictors of midwakh smoking among male university students were having a friend who is a tobacco or midwakh smoker, and consuming other forms of tobacco other than midwakh.<br /><br /> Having midwakh smoking friends, having friends smoking any other form of tobacco, and being a smoker could predict the use of midwakh among university male students in Saudi Arabia. Interventions are required to control this behavior to prevent smoking-related health consequences.<br /><br />Having midwakh smoking friends, having friends smoking any other form of tobacco, and being a smoker could predict the use of midwakh among university male students in Saudi Arabia. Interventions are required to control this behavior to prevent smoking-related health consequences.Currently, stroke is a common and devastating condition, which is sometimes associated with permanent cerebral damages. Although in early time after stroke, the related treatments are mainly focused on the restoration of cerebral blood flow (CBF), at the same time, some changes are commencing that continue for a long time and need to be specially noticed. Previous studies have proposed several molecular mechanisms in these post-stroke events. Exosomes are a type of vesicle, which are formed and secreted by most cells as a mean to transfer cellular constituents such as proteins, DNA and/or RNA to distant cells. Therefore, they are considered as a novel mechanism of cellular communication. Herein, we reviewed the current knowledge on cascades, which are activated after stroke and consequently lead to the reorganization and/or continuance of tissue damage and development of other disorders such as Neurodegenerative diseases (ND). Thereafter, we summarized the latest proofs about the possible participation of exosomes in transferring some components such as proteins and micro-RNAs (miRs), from the affected areas to other parts of the brain and eventually cause the above-mentioned post-stroke events.As its first identified member, Interleukin-12 (IL-12) named a whole family of cytokines. In response to pathogens, the heterodimeric protein, consisting of the two subunits p35 and p40, is secreted by phagocytic cells. Binding of IL-12 to the IL-12 receptor (IL-12R) on T and natural killer (NK) cells leads to signaling via signal transducer and activator of transcription 4 (STAT4) and subsequent interferon gamma (IFN-γ) production and secretion. Signaling downstream of IFN-γ includes activation of T-box transcription factor TBX21 (Tbet) and induces pro-inflammatory functions of T helper 1 (TH1) cells, thereby linking innate and adaptive immune responses. Initial views on the role of IL-12 and clinical efforts to translate them into therapeutic approaches had to be re-interpreted following the discovery of other members of the IL-12 family, such as IL-23, sharing a subunit with IL-12. However, the importance of IL-12 with regard to immune processes in the context of infection and (auto-) inflammation is still beyond doubt. In this review, we will provide an update on functional activities of IL-12 and their implications for disease. We will begin with a summary on structure and function of the cytokine itself as well as its receptor and outline the signal transduction and the transcriptional regulation of IL-12 secretion. [https://www.selleckchem.com/pharmacological_epigenetics.html buy Epigenetic inhibitor] In the second part of the review, we will depict the involvement of IL-12 in immune-mediated diseases and relevant experimental disease models, while also providing an outlook on potential translational approaches.Artificial intelligence (AI) simulates intelligent behavior as well as critical thinking comparable to a human being and can be used to analyze and interpret complex medical data. The application of AI in imaging diagnostics reduces the burden of radiologists and increases the sensitivity of lung cancer screening so that the morbidity and mortality associated with lung cancer can be decreased. In this article, we have tried to evaluate the role of artificial intelligence in lung cancer screening, as well as the future potential and efficiency of AI in the classification of nodules. The relevant studies between 2010-2020 were selected from the PubMed database after excluding animal studies and were analyzed for the contribution of AI. Techniques such as deep learning and machine learning allow automatic characterization and classification of nodules with high precision and promise an advanced lung cancer screening method in the future. Even though several combination models with high performance have been proposed, an effectively validated model for routine use still needs to be improvised.