Generative artificial intelligence (AI): a key innovation or just hype in primary care settings? by Usman Iqbal, Sandeep Reddy, Annisa Ristya Rahmanti, Xiaohong W Gao, Huan Xuan Nguyen, Yu-Chuan Jack Li

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Key innovation abilities on capability and the performance of women entrepreneurs: the role of entrepreneurial education and proactive personality by Eugine Tafadzwa Maziriri, Brighton Nyagadza, Tinashe Chuchu

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75 YEARS OF MEPHI’S HISTORY: CONTINUITY OF EDUCATIONAL INNOVATIONS by I. E. Zadorozhnyuk

“…The book focuses on the educational innovations characterizing Moscow Engineering Physics Institute, now – the National Research Nuclear University MEPhI as a center of scientific and technological development of the country. The key innovation inherent in its very basis is coupling of educational process with students’ research activities from the very first days of their stay at the University. …”
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Introduction to ORC–VCC Systems: A Review by Tomasz Suchocki

“…This study introduces a novel integrated organic Rankine cycle (ORC) and vapor compression cycle (VCC) system, specifically designed to enhance energy efficiency and reduce greenhouse gas emissions in industrial applications and district heating systems. The key innovation lies in the development of an advanced coupling mechanism that seamlessly connects the ORC and VCC, enabling more efficient utilization of low-grade heat sources. …”
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Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation by Joseph P. Yurko, Jacopo Buongiorno, Robert Youngblood

“…The work reported here implements several improvements on classic calibration techniques afforded by modern analysis techniques. The key innovation has come from development of code surrogate model (or code emulator) construction and prediction algorithms. …”
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Decentralisation and beyond: The impact of blockchain on global economies, banking, and governance by Sharma Mohit, Patidar Sanjay

“…Among these, blockchain technology emerges as a key innovation with the power to reshape economic systems and business operations. …”
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A Microfluidic-Based Cell-Stretching Culture Device That Allows for Easy Preparation of Slides for Observation with High-Magnification Objective Lenses by Momoko Kato, Kae Sato

“…This study aimed to develop a method for preparing microscope slides to enable high-magnification imaging of cells in these devices. The key innovation is creating a peelable bond between the cell culture membrane and the upper channel, allowing for easy removal of the upper layer and precise cutting of the membrane for high-magnification microscopy. …”
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Correlation analysis between coiling tension and the sleeve's hoop stress by Park Yonghui

“…Furthermore, parametric analysis highlighted a correlation between increased coiling tension and higher frictional forces exerted by the first layer of the steel coil on the sleeve, resulting in discernible variations in hoop stress based on sleeve radius and coiling tension. The key innovation lies in the application of the correction factor to the Lame equation, enabling the derivation of stress results consistent with finite element analysis, even under arbitrary coiling tension and sleeve radius inputs. …”
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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

“…This novel approach integrates biophysical insights with machine learning, focusing on pharmacophoric properties such as charge, hydrogen bonding, hydrophobicity, and aromaticity.ResultsResults showed significant enrichment of true positive ligands—improving database enrichment by up to 54-fold compared to random selection—demonstrating the robustness of this approach across diverse proteins.ConclusionUnlike conventional structure-based or ligand-based screening methods, this work emphasizes the role of specific protein conformations in driving ligand binding, making the process highly interpretable and actionable for drug discovery. The key innovation lies in identifying pharmacophore features tied to conformations selected by ligands, offering a predictive framework for optimizing drug candidates. …”
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Imaging cells and nanoparticles using modulated optically computed phase microscopy by Xuan Liu, Rupak Bhakta, Emily Kryvorutsky, Yuanwei Zhang

“…To overcome the tradeoff, we develop a technology termed as modulated optically computed phase microscopy (M-OCPM) based on low coherence interferometry and optical computation. The key innovation of M-OCPM is to utilize optical computation that performs Fourier transform of the interferometric spectra, imposes temporal modulation on the interference signal, and circumvents the sensitivity-resolution tradeoff. …”
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Influence of moving heat sources on thermoviscoelastic behavior of rotating nanorods: a nonlocal Klein–Gordon perspective with fractional heat conduction by Ahmed E. Abouelregal, M. Marin, Abdelaziz Foul, Sameh S. Askar

“…Abstract This study investigated magneto-thermoelastic interactions in rotating viscoelastic nanorods under moving heat sources, advancing the modeling of nanoscale systems. A key innovation was the adoption of Klein–Gordon-type nonlocal elasticity theory, which incorporated internal length and time scales to capture small-scale interactions effectively. …”
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Label-Free Surface-Enhanced Raman Scattering for Genomic DNA Cytosine Methylation Reading by Kazi Morshed Alom, Anastasiia Tukova, Nana Lyu, Alison Rodger, Yuling Wang

“…In this article, we report a facile label-free surface-enhanced Raman scattering (SERS) spectroscopy system that utilizes gold nanoparticles (AuNPs) for signal enhancement of methylated DNA. The key innovation of this work is to use anionic nanoparticles at a high ionic strength to introduce the aggregation of AuNPs with anionic DNA. …”
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Numerical study of comparing skirt sandpile with deep cement pile to improve load‒settlement response of circular footing in layered soils: Centric and eccentric effects by Hussein Ahmad

“…Additionally, the study explores the significant Influence of increasing SSP length (by 180 %), which resulted in a much greater increase in load-bearing capacity compared to similar changes in DCM. Another key innovation is the analysis of soil cohesion and friction angle effects, where increasing these parameters resulted in a reduction in settlement ratios from 36 % to 12 %, with the load-bearing capacity improving from 2 to 3.7. …”
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Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

“…Additionally, it considers EV owners' satisfaction and demand-side management. A key innovation of this research is the development of a comprehensive framework for simultaneously managing network topology reconfiguration, EV movement within the network, and mitigating the impacts of adverse weather conditions. …”
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RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images by Donyung Kim, Seungeon Lee, Inho Park, Geonjong Kim, Sungho Kim

“…We present RecNet, a novel end-to-end CNN approach for fast template matching in cross-spectral images, addressing nonlinear intensity disparities and appearance differences in ground-level imagery through a simple yet effective design. Our key innovation lies in the seamless integration of Zero-mean normalized cross correlation (ZNCC), which is well-validated for handling nonlinear intensity variations, with CNN-based shape difference learning. …”
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EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals by Hyo Jin Jon, Longbin Jin, Hyuntaek Jung, Hyunseo Kim, Eun Yi Kim

“…The model leverages 2D convolutional neural networks (CNNs) for spatial feature extraction and a 1D CNN for temporal dynamics, providing robust spatiotemporal modeling. A key innovation is the hybrid loss function, which integrates mean squared error (MSE) and cross-entropy (CE) with a Bernoulli penalty to enhance probability estimation and address sparsity in the emotional space. …”
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A Novel Oil Spill Dataset Augmentation Framework Using Object Extraction and Image Blending Techniques by Farkhod Akhmedov, Halimjon Khujamatov, Mirjamol Abdullaev, Heung-Seok Jeon

“…The proposed methodology combines advanced object extraction techniques with traditional data augmentation strategies to generate high quality and realistic oil spill images under various oceanic conditions. A key innovation in this work is the application of image blending techniques, which ensure seamless integration of target oil spill features into diverse environmental ocean contexts. …”
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FS-DDPG: Optimal Control of a Fan Coil Unit System Based on Safe Reinforcement Learning by Chenyang Li, Qiming Fu, Jianping Chen, You Lu, Yunzhe Wang, Hongjie Wu

“…To address this issue, we propose a novel FCU control method, Fluctuation Suppression–Deep Deterministic Policy Gradient (FS-DDPG). The key innovation lies in applying a constrained Markov decision process to model the FCU control problem, where a penalty term for process constraints is incorporated into the reward function, and constraint tightening is introduced to limit the action space. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…In this paper, we propose SensorDBSCAN, a novel semi-supervised method for anomaly detection and diagnosis. The key innovation lies in achieving good performance with minimal labeled data - less than 1% of the dataset - by leveraging active and contrastive learning techniques. …”
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Mass Platooning: Information Networking Structures for Long Platoons of Connected Vehicles by Mahdi Razzaghpour, Babak Ebrahimi Soorchaei, Rodolfo Valiente, Yaser P. Fallah

“…Investigating Vehicle-to-everything (V2X) communication, we dive into the concept of vehicle platoons, a key innovation in transport systems, introducing a new era of cooperative driving. …”
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