Structural Magnetic Resonance Imaging Brain Age Investigation in Athletes with Persistent Postconcussion Syndrome by Samuel Guay, Camille Charlebois-Plante, Sophie-Andrée Vinet, Marie-Eve Bourassa, Louis De Beaumont

“…Brain age prediction algorithms using structural magnetic resonance imaging (MRI) estimate the biological age of the brain by comparing it to a normal aging trajectory, allowing for the identification of deviations that may indicate slower or accelerated biological aging. …”
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State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States by Osman Ozer, Hayri Arabaci

“…However, in cases where the input data exhibit limited variation over time and consist of low-dimensional features, deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) may tend toward overfitting. To address this, deep learning algorithms such as long short-term memory (LSTM) have been focused on for SOC prediction. …”
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Machine Learning Prediction of Left Ventricular Assist Device Thrombosis from Acoustic Harmonic Power by Kent D. Carlson, Dan Dragomir-Daescu, Barry A. Boilson

“…Left ventricular assist device (LVAD) thrombosis typically presents late and may have devastating consequences for patients. …”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Our Scopus search (up to May 2024) identified 23 eligible studies. Inclusion criteria encompassed peer-reviewed observational or experimental studies on AI in neurosurgical education. …”
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Refining Software Clustering: The Impact of Code Co-Changes on Architectural Reconstruction by Adelina Diana Stana, Ioana Sora

“…., classes or interfaces) are frequently modified together, it may indicate an underlying connection between them. …”
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Unlocking the structural, vibrational, electronic, optical and thermoelectric properties of K2X (X=S, Se, Te) monolayers via DFT and ML by G. Sneha, R.D. Eithiraj

“…These monolayers show broad absorption band in the order of 104 cm-1 in the UV–Vis region and may appear to have applications in optoelectronics. …”
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Secure K-Means Clustering Scheme for Confidential Data Based on Paillier Cryptosystem by Zhengqi Zhang, Zixin Xiong, Jun Ye

“…These include optimizing the computational efficiency of the protocol, exploring other homomorphic encryption schemes that may provide better performance, and extending the protocol to handle more complex clustering algorithms.…”
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Workload Forecasting Methods in Cloud Environments: An Overview by Samah Aziz, Manar Kashmoola

“…Cloud service providers may allocate resources wisely and guarantee good performance and accessibility for their clients by being aware of these techniques and problems. …”
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Generative Design-Driven Optimization for Effective Concrete Structural Systems by Hossam Wefki, Mona Salah, Emad Elbeltagi, Majed Alinizzi

“…This research introduces a parametric algorithmic model for the automated optimization of RC buildings with solid slab systems. …”
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Critical considerations and computational tools in plant genome editing by Dipnarayan Saha, Alok Kumar Panda, Subhojit Datta

“…Computational tools and algorithms play a crucial role in construct design and gRNA selection to minimize off-target effects and also to optimize their delivery techniques. …”
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Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias by Catherine Reed, Martin Wynn, Robin Bown

“…Traditional AI centres on supervised learning algorithms to support and enable the application of data rules, predictive functionality and other AI-based features. …”
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Modern approaches to the typification of certain forensic techniques by V. Yu. Popov

“…Based on the analysis of traditional approaches of scholars to the typification of certain forensic techniques and current trends in scientific research, the classification of certain forensic techniques is developed based on the following criteria: 1) criminal law factors; 2) completeness of the developed algorithms and practical recommendations; 3) degree of generality of the proposed recommendations; 4) stage at which criminal procedural activity is carried out; 5) form of display of the developed recommendations; 6) forensically significant features in a certain group of criminal offences and the existence of correlations between them, etc. …”
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Neo-antigen specific cancer vaccines for acute lymphoblastic leukemia—challenges, opportunities, and future directions by Victoria Bloch Blytt Sandstad, Signe Modvig, Morten Orebo Holmström

“…Thus, we envisage that neo-antigen specific therapeutic cancer vaccines could pose an important modality in future treatment algorithms for ALL.…”
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Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing by Boyan Jin, Zhenlong Wang, Tianyu Wang, Jialin Meng

“…These advances suggest that memristor-based neural networks may pave the way for next-generation AI systems that combine low power consumption with high computational performance, ultimately bridging the gap between biological and electronic information processing.…”
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Concepts of Work: from Traditional Social-Labor Ideas to Modern Effects of Digital Transformation by Zs. Riczu, G. Melypataki, D. A. Mate

“…Thus, from the criminal sciences’ perspective, technology may be used or misused, and this is an interesting topic, and at the same time, an important research area for criminologists.Methods: the present article seeks to provide a descriptive-analytical discussion about digitalization of criminology and criminal justice in the light of modern technologies, internet and cyberspace. …”
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Balancing Ethics and Privacy in the Use of Artificial Intelligence in Institutions of Higher Learning: A Framework for Responsive AI Systems by Belinda Ndlovu, Kudakwashe Maguraushe

“…These concerns include issues such as intrusive data collection, algorithmic bias, threats to student autonomy, and unequal access to AI-enhanced learning. …”
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CASPaR: Congestion avoidance shortest path routing for delay tolerant networks by Michael Stewart, Rajgopal Kannan, Amit Dvir, Bhaskar Krishnamachari

“…Unlike traditional transmission control protocol/Internet protocol–based networks, delay/disruption tolerant networks may experience connectivity disruptions and guarantee no end-to-end connectivity between source and destination. …”
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Conjugate gradient neural network in prediction of clay behavior and parameters sensitivities by Hamed Memarian fard

“…In our benchmark experiments the resulting highly scalable algorithms converge about an order of magnitude faster than ordinary stochastic gradient descent. …”
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Unveiling innovation imperatives in agriculture: A data-driven framework for identifying latent needs and regional priorities by Andrea Bonfiglio

“…An iterative approach is used for this purpose. Mixed matching algorithms are employed to form the comparison groups, while G-computation is used to calculate the differences. …”
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Bridging the digital readiness gap in palliative home care: A process to data approach by Yousra Odeh, Omar Shamieh

“…Instead of adding more hospital beds, more patients may receive long-term, high-quality treatment at home by transitioning to digital home healthcare systems. …”
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