Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”

Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model by Raseena M. Haris (17773470)

“…Our proposed machine learning method was rigorously evaluated through experiments conducted on a dedicated testbed using KVM/QEMU technology, involving different VM sizes and memory-intensive workloads. …”

Potentially inappropriate medications use in community-based aged patients: a cross-sectional study using 2012 Beers criteria by Kuyumjian, Yara-Mary

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The impact of using Socrative based formative assessment to enhance student achievement in a nutrition course: A digital forward assessment by Hussein, Hinda Jirdeh

“…The study evaluated students’ understanding of the concepts and improvement of posttest after treatment of socrative based formative assessment. The results were analyzed in statistical software (SPSS 23) using independent t-test to determine if there was significant difference in the posttest scores between the two groups. …”
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Awareness and practice of dentists in gulf cooperation council countries regarding medication-related osteonecrosis of the jaw – A web-based survey by Mohammad Zakaria, Nassani

“…A questionnaire was designed and distributed among all potential participants via different social media platforms. SPSS version 22 was used for data analysis, and P-value <0.05 was considered statistically significant. …”
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Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study by Mutasim Baba, Fuad

“…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …”
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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

A New Restriction Endonuclease-Based Method for Highly-Specific Detection of DNA Targets from Methicillin-Resistant Staphylococcus aureus by Maria W. Smith (18807382)

“…Sequences of target oligonucleotides were altered to demonstrate that (i) any mutation of the restriction site reduced the signal to zero; (ii) double and triple point mutations of sequences flanking the restriction site reduced restriction to 50–80% of the positive control; and (iii) a minimum of a 16-bp target-probe dsDNA hybrid was required for significant cleavage. Further experiments showed that the assay could detect the mecA amplicon from an unpurified PCR mixture with detection limits similar to those with standard fluorescence-based qPCR. …”

The impact of nozzle diameter and printing speed on geopolymer-based 3D-Printed concrete structures: Numerical modeling and experimental validation by Shoukat Alim Khan (14778226)

“…<p dir="ltr">3D Concrete Printing (3DCP) is a promising technology with significant advantages for the construction industry, encompassing reduced labor costs, diminished carbon dioxide emissions, enhanced time efficiency, improved user convenience, and design flexibility. …”

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

“…<div><p>Fruits significantly impact everyday living, i.e., Citrus fruits. …”

Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells by Shebaby, Wassim N.

“…The combined treatment with a potent PI3K inhibitor (wortmannin) and F1 or F2 fraction had a synergistic inhibitory effect on cell survival which shows that these two drugs work on different pathways. Conclusions These results suggest that the pentane-based fractions of DCOE possess potential anti-cancer activity that is mainly mediated through the Erk pathway.…”
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Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides by Mansuck Kim (19570903)

“…We predicted maize co-expression networks around the selected maize candidate genes based on partial correlation, and subsequently searched for subnetwork modules that were differentially activated when inoculated with two different fungal strains. …”

Effects of real-word versus pseudo-word phonics instruction on the reading and spelling achievement in first graders. (c2014) by Khalifeh Mohamad, Jihan H.

“…The only difference was in the type of word lists provided for every group during the lesson. …”
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Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner by Md. Tawkat Islam Khondaker (16870107)

“…It is a two-stage deep learning-based framework consisting of an `Agree' and a `Disagree' network. …”

Prediction of CO₂ uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence by Mohd Azfar Shaida (19756971)

Synthesis and evaluation of novel Cu-based adsorbent-containing catalysts for CO₂ hydrogenation to methanol and value-added products by Rim Ismail (18192922)

CO, CO₂, and SO₂ detection based on functionalized graphene nanoribbons: First principles study by Ehab Salih (17075206)

“…Indicating that functionalizing the surface of AGNR can improve significantly its performance for the field of gas sensing.…”

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study by Shahnaz Qadri (2610634)

“…Fibrinogen gamma chain (FIBG), Fibrinogen beta chain (FIBB), Tetratricopeptide repeat protein 16 (TTC16), Proline rich 14-like (PR14L), Inhibitor of nuclear factor kappa-B kinase subunit epsilon (IKKE), Biorientation of chromosomes in cell division protein 1-like 1 (BD1L1), and protein PR14L exhibited significant differences in the DS group. The pathway analysis revealed that the complement system pathways were activated, and blood coagulation and neuroprotection were inhibited in the DS group (z-score ≥2; <i>p </i>≤ 0.05). …”

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. …”

The impact of metformin therapy for gestational diabetes on fetal growth in women with risk factors for fetal growth restriction- a registry-based study from Qatar by Komal Rafique (17075074)

“…Regardless of risk factor status, women taking metformin had higher risk of LFD (p=0.001), but no difference in risk of macrosomia.</p> <h3>Conclusion</h3> <p>The results of this study suggest that in women with additional risk factors for FGR, the concurrent use of metformin significantly decreases the birthweight and increases the risk for LBW, SFD, PTB and admission to NICU. …”