Absence of cardiac siderosis by MRI T2* despite transfusion burden, hepatic and serum iron overload in Lebanese patients with sickle cell disease حسب Inati, Adlette

"…Background:  The use of magnetic resonance imaging (MRI) to detect organ-specific iron overload is becoming increasingly common. …"
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Gender and care حسب Mokhbat, Jacques E.

"…Although integrating gender issues into HIV/AIDS programs can be challenging, the effectiveness of such programs are greatly enhanced when gender specific needs of men and women are considered (Gijsbers van Wijk et al., 1996; Standing, 1997).…"
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Unique Catalytic Performance of the Polyoxometalate [Ti2(OH)2As2W19O67(H2O)]8–: The Role of 5-Coordinated Titanium in H2O2 Activation حسب Kholdeeva, Oxana A.

"…The unique ability of 1 to catalyze heterolytic oxidations with the use of hydrogen peroxide most likely originates from the specific coordination number (5) and geometry (square-pyramidal) of the Ti atoms in this polyanion.(© Wiley-VCH Verlag GmbH & Co. …"
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T-cell-derived interleukin-17 regulates the level and stability of cyclooxygenase-2 (COX-2) mRNA through restricted activation of the p38 mitogen-activated protein kinase cascade حسب Faour, Wissam

"…SB202190 and p38 inhibitor), Western analysis using specific anti-phospho-antibodies to a variety of mitogen-activated protein kinase cascade intermediates, co-transfection studies using chimeric cytomegalovirus-driven constructs of GAL4 DNA-binding domains fused to the transactivation domains of transcription factors together with Gal-4 binding element-luciferase reporters, ectopic overexpression of activated protein kinase expression plasmids (e.g. …"
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Endocrine mucin-producing sweat gland carcinoma حسب Tannous, Zeina S.

"…All tumors examined immunohistochemically expressed at least one neuroendocrine marker, synaptophysin or chromogranin. CD57 and neuron specific enolase, secondary markers of neuroendocrine differentiation, were expressed in most cases. …"
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Voluntary disclosure of intellectual assets and intellectual liabilities حسب Manassian, Armond

"…Therefore, the objective of this specific paper is to conduct a comprehensive review of the literature of intellectual assets and intellectual liabilities, in order to highlight the gaps in literature which we will deal with in our future research. …"
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Enhancement of The Start-up of an Up-flow Anaerobic Sludge Blanket Reactor Using Electrochemically Enriched Biofilms حسب Abdallah, Mohamad

"…Granulation is characterized by the agglomeration of specific types of bacterial and methanogenic archaea known to possess electroactive properties which allow cell to cell attachment through a mechanism known as direct interspecies electron transfer (DIET). …"
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Inappropriate Medication Use in Elderly Lebanese Outpatients حسب Saab, Yolande B.

"…Courses of therapy that were judged inappropriate were further classified according to the specific area of inappropriate use (i.e. Beers’ criteria, duplicate therapy, indication, dose, dose frequency including missing doses, duration and discontinuation of therapy, adverse effects, drug-drug and/or drug-disease interactions, and poor memory). …"
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images حسب Hamada R. H. Al-Absi (16726299)

"…DiaNet v2 achieves an impressive accuracy of over 92%, 93% sensitivity, and 91% specificity in distinguishing diabetic patients from the control group. …"

School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20 حسب Mohammed H. Al‐Thani (21406742)

"…Python version 3.9.5 was used for data analysis along with a pairwise comparison between each of BMI‐z‐score shift to evaluate the effects of specific shifts in BMI‐z‐score category.</p><h3>Results</h3><p dir="ltr">Overall, the proportion of overweight and obese category of students increased from 44% in 2016–17 to 49.3% in 2019–20 with a decrease in the proportion of students in normal BMI‐z‐score category (from 48.8% to 47.8%) and severe thinness and thinness category (from 7.3% to 3%) between two rounds of growth monitoring survey. …"

The clinical and genetic characteristics of permanent neonatal diabetes (PNDM) in the state of Qatar حسب Sara Al‐Khawaga (14778919)

"…Permanent NDM (PNDM) is caused by mutations in specific genes that are known for their expression at early and/or late stages of pancreatic beta- cell development, and are either involved in beta-cell survival, insulin processing, regulation, and release. …"

Technical Note: Investigating of dosimetric leaf gap and leaf transmission factor variations across gantry and collimator angles in volumetric modulation arc therapy حسب Aram Rostami (22045274)

"…Dosimetric impacts were evaluated through VMAT Picket Fence tests and patient‐specific verification using portal dosimetry for 10 clinical VMAT plans.…"

Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure حسب Anika Liu (8411805)

"…Moreover, we derived potential structural alerts for DILI with high precision, including furan and hydrazine derivatives; however, all derived alerts were present in approved drugs and were over specific indicating the need to consider quantitative variables such as dose.…"

Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network حسب Khadija Manzoor (22565369)

"…</p><h3>Results</h3><p dir="ltr">On the balanced HAM10000 dataset, EfficientFormerV2 achieved 97.11% accuracy, a 97.14% F 1 -score, 96.85% sensitivity, and 96.70% specificity. On the ISIC 2018 dataset, the segmentation model achieved 97.59% accuracy, 89.12% Jaccard index, and 94.24% Dice similarity coefficient. …"

VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models حسب Md. Sakib Bin Islam (22828181)

"…Their widespread use has created security concerns, specifically regarding illegal spying, smuggling, and hazardous substance movement. …"

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

"…Of the 47 studies, we were able to classify the approaches taken by the studies into 3 different categories: 26 (55%) studies predicted cardiac arrest by analyzing specific parameters or variables of the patients, whereas 16 (34%) studies developed an AI-based warning system. …"

Neutrophil‐to‐lymphocyte ratio as a predictor of clinical outcomes in critically ill COVID‐19 patients: A retrospective observational study حسب Husain S. Ali (11659423)

"…NLR on ICU admission of ≥6.55 was obtained using Youden's index to predict ICU mortality, with a sensitivity of 81% and specificity of 41%. Mortality was significantly higher in patients with age ≥60 years (<i>p</i> < 0.001), chronic kidney disease (<i>p</i> = 0.03), malignancy (<i>p</i> < 0.002), and NLR ≥ 6.55 (<i>p</i> < 0.003). …"

SERS on analyte-enriched blood for rapid, culture-free sepsis recognition and causative pathogen identification with super operational neural networks حسب Manal Hassan (458628)

"…<p dir="ltr">Sepsis remains a leading cause of morbidity and mortality, yet routine diagnostics are slow, culture-dependent, and often lack the sensitivity or specificity required for early intervention. Prior studies rarely demonstrate clinical-grade performance on blood culture samples or in independent external cohorts. …"

Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides حسب Mansuck Kim (19570903)

"…We obtained time-course RNA-seq data from B73 maize inoculated with wild type F. verticillioides and a loss-of-virulence mutant, and subsequently established a computational pipeline for network-based comparative analysis. Specifically, we first analyzed the RNA-seq data by a cointegration-correlation-expression approach, where maize genes were jointly analyzed with known F. verticillioides virulence genes to find candidate maize genes likely associated with the defense mechanism. …"

Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing حسب Nauman Ullah Gilal (17302714)

"…To address this issue, we present <i>AutoCleanDeepFood</i>, a novel end-to-end food computing framework for regional gastronomy that contains the following components: (i) a fully automated pre-processing pipeline for custom data sets creation related to specific regional gastronomy, (ii) a transfer learning-based training paradigm to filter out noisy labels through loss ranking, incorporating a Russian Roulette probabilistic approach to mitigate data imbalance problems, and (iii) a method for deploying the resulting model on smartphones for real-time inferences. …"