Tumor vasculature vs tumor cell targeting: Understanding the latest trends in using functional nanoparticles for cancer treatment by Awad, Nahid S.

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Assessment of Student Engagement: An analysis of trends by Nauffal, Diane I.

“…Quality is a multi-dimensional concept and embraces all functions and activities of higher education (academic programs, research, and community services) in all their features and components. …”
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A Preliminary Assessment of Global CO₂: Spatial Patterns, Temporal Trends, and Policy Implications by Ahmed M. EI Kenawy (17746944)

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Antibiotic use and escherichia coli resistance trends for quinolones and cotrimoxazole in Sweden by Farra, Anna

“…Clinical laboratory data are subject to bias but surveillance over longer periods of time provides a useful method for detecting trends in increasing resistance and therefore functions as a resistance warning system.…”
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Applications and multidisciplinary perspective on 3D printing techniques: Recent developments and future trends by Amir A., Elhadad

“…This article explores recent advancements and emerging trends in 3D printing from a novel multidisciplinary perspective. …”
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Leveraging hallmark Alzheimer’s molecular targets using phytoconstituents: Current perspective and emerging trends by Prajakta A. Dhage (17302789)

Artificial Intelligence Enabled Biomineralization for Eco‐Friendly Nanomaterial Synthesis: Charting Future Trends by Vaisali Chandrasekar (16904526)

Diversity in Functionality, Materiality, and Style of Monochrome Seljuq Ceramics by El Sabeh, Nour

“…It categorizes a wide range of ceramic forms, styles, and functions. These wares are contextualized within the contemporary artistic trends of the period. …”
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Geometrically nonlinear vibration analysis of eccentrically stiffened porous functionally graded annular spherical shell segments by Seyed Sajad Mirjavadi (20278071)

“…<p dir="ltr">This article investigates nonlinear free vibrations of porous functionally graded (FG) annular spherical shell segments surrounded by elastic medium and reinforced by circumferential stiffeners. …”

Performance predication of a solar assisted desiccant air conditioning system using radial basis function neural network: An integrated machine learning approach by Sibghat Ullah (19325794)

“…Major contribution of this research is to predict system level performance parameters of a Solar Assisted Desiccant Air Conditioning (Sol-DAC) system using Radial Basis Function Neural Network (RBF-NN) under real transient experimental inlet conditions. …”

Phytoplankton and zooplankton diversity and community dynamics in connected coastal wetlands’ ecosystems under anthropogenic pressure (SW Mediterranean Sea) by Gueroun Sonia KM (21435836)

“…This study presents an up-to-date assessment of the planktonic community (phytoplankton and zooplankton) in terms of taxonomic diversity, distribution, abundance, and functional characteristics across these ecosystems. …”

Findings and perspectives of β-Ti alloys with biomedical applications: Exploring beyond biomechanical and biofunctional behaviour by Elhadad, Amir A.

“…A review with a novel multidisciplinary perspective is proposed in this work, which considers recent developments of β-Titanium alloys and new trends in novel microstructures, processing techniques, properties of dense and porous substrates, as well as the relationship between all these aspects and performance in service, in terms of improved its biomechanical and bio-functional balance. …”
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Effect of strain on gas adsorption in tight gas carbonates: A DFT study by Elkhansa Elbashier (14152815)

“…In addition to their weak interaction with the surface, CH₄ molecules show no particular trend in terms of adsorption for the considered values of the applied strain. …”

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…Additionally, we propose a novel loss function based on Variational Inference and the Evidence Lower Bound (ELBO) to improve uncertainty quantification and prediction accuracy. …”

Randomized Deep Hopfield Network with Multiple Output Layers for Volatility Time Series Forecasting by Aryan Bhambu (18767731)

EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING by Sait, Sadiq M.

“…Furthermore, with current trends partitioning has become a multi-objective problem, where power, delay and area in addition to minimum cut, need to be optimized. …”
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General iterative heuristics for VLSI multiobjective partitioning by Sait, Sadiq M.

“…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. Both heuristics are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.…”
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Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks by Tejedor, Alejandro

“…Our results, when compared with observed topological trends in RNs as a function of climate, indicate that humid basins exhibit topologies which are “naturally engineered” to slow-down fluxes.…”
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning by Sait, Sadiq M.

“…Fuzzy rules are incorporated in order to handle the multiobjective cost function. For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient. …”
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Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

“…Fuzzy rules are incorporated in order to handle the multi-objective cost function. For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient. …”
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