Effect of temperature on the rheological properties of neat aqueous Wyoming sodium bentonite dispersions by Vryzas, Zisis

“…Temperature affects significantly the rheological behavior of neat water Wyoming Na-bentonite dispersions. …”
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Salicylic acid restricts mercury translocation by activating strong antioxidant defense mechanisms in sweet pepper (Capsicum annum L.) by Muhammad Fasih Khalid (10652246)

“…H₂O₂ was found to be lower in plants treated with SA under Hg toxicity than in non-treated plants. The SA application also restricts the accumulation of Hg in sweet pepper roots, leaves, and fruits. …”

Changes in growth patterns due to nutritional adjustment in children of Northeast Brazil by Carlos A Bruno da Silva (19772745)

“…Based on the data obtained in this study, we conclude that children, regardless of their classification according to different nutritional assessment indices, respond satisfactory in terms of linear growth and associated height-weight development, after receiving calorie-protein nutritional adjustments.…”

Unpacking the asymmetric impact of exchange rate volatility on trade flows: A study of selected developed and developing Asian economies by Umar Nawaz Kayani (17131781)

“…The non-linear models yielded more significant findings, while the linear models did not indicate any significant effects of exchange rate volatility on trade flows. …”

Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

“…Here, we summarize the current deep aging clocks, including epigenetics, transcriptomics, metabolomics, microbiome, and imaging based clocks for age prediction. Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging, and this would help improve aging clocks and accelerate efforts to reach longer and healthier lives.…”

Effect of Flexural NSM-FRP Bars on the Shear Strength of Reinforced Concrete Beams by Saleh, Rayyan Bashar

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Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet by Md. Shaheenur Islam Sumon (22045907)

“…In this study, we present multiclass <u>segmentation models</u> designed to localize the prostate gland and its zonal regions—specifically the <u>peripheral zone</u> (PZ), transition zone (TZ), and the whole gland—by combining EfficientNetB4 encoders with Self-organized <u>Operational Neural Network</u> (Self-ONN)-based decoders. Traditional <u>convolutional neural networks</u> (CNNs) rely on linear neuron models, which limit their ability to capture the complex dynamics of biological neural systems. …”

Qatar’s immigrants at higher risk of diabetes by Nature Research (16552612)

“…“We are currently assessing novel tools for a larger scale, quick and non-invasive screening programme for diabetes in the Qatari population."…”

The Impact of Artificial Intelligence on Institutional Recruitment and Selection Processes by KHAWAN, SALIM SAEED THANI JUMA

“…The research participants’ responses to using technology to enhance recruitment and selection processes were at a high level of significance (p ≤ 0.05). The participants also perceived the negative impact of key members on recruitment and selection processes at a high level of significance (p ≤ 0.05). …”
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Link between Transformational Leadership and Organizational Efficiency & Employee Performance by ALALI, ABDULLA HASSAN

“…Besides, it was found that TL further significantly influences employee performance in the UAE’s engineering and construction sector. …”
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Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19 by Farid Kochakkashani (17876918)

“…To propose a model for planning the pharmaceutical supply chains, a mixed-integer linear programming (MILP) model is used for a four-echelon supply chain design. …”

An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition by Kulathil, Muhammed Noshin Poovan

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Characterization of the dynamic flow response in microfluidic devices by Elgack, Mohammed Elmahdi

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The relationship between digit independence and digital sesamoids in humans and a proposal of a new digital sesamoid evolutionary hypothesis by Yammine, Kaissar

“…The findings in humans showed a quasi‐linear association between the degree of mobility and sesamoid frequency. …”
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Activation of Src kinase in primary colorectal carcinoma An indicator of poor clinical prognosis by Allgayer, Heike

“…In patients who underwent curative resection, a significant correlation with a decreased disease-free survival rate was found (P < 0.0001). …”
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Evaluating the impact of the Minimization of Aggression and Violence (MoAV) intervention on mechanical restraint use in Qatar's acute mental health setting by Ananth Nazarene (21239912)

“…The percentage of restrained patients decreased from 25 % to 4 %, p = (<0.001). The mean duration of restraint incidents slightly increased from 59.1 min in 2016 to 61.3 min in 2021, though this change was not statistically significant. …”

Combined effects of treated domestic wastewater, fly ash, and calcium nitrite toward concrete sustainability by Abdelrahman Abushanab (17268940)

“…Moreover, Pearson correlation and linear regressions were performed on the experimental data.…”

Numerical investigation of the potential of using hydrogen as an alternative fuel in an industrial burner by Rashed Al-ajmi (19932174)

“…Supporting Python scripts and Cantera-based kinetic modeling employing the GRI-Mech 3.0 mechanism and Zeldovich pathways analyzed equivalence ratios (<i>Φ</i>), adiabatic flame temperatures (T_<em>ad</em> ), and NO_x formation mechanisms. …”

Changes in Blood microRNA Expression and Early Metabolic Responsiveness 21 Days Following Bariatric Surgery by Stephen L. Atkin (6684368)

“…MicroRNA expression was determined by quantitative polymerase chain reaction and tested for significant changes after surgery.</p><p dir="ltr"><br></p><h3>Results: </h3><p dir="ltr">BMI decreased by 3.8 kg/m² 21 days postoperatively. …”

Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…The model accurately predicts drug release from liposomes and MOFs under various conditions, including low- and high-frequency ultrasound (extrinsic triggering), microwave exposure (extrinsic triggering), ultraviolet light exposure (extrinsic triggering), and different pH levels (intrinsic triggering). The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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