Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer by Niclas Schillo, Andreas Sturm

“…We further show that it is possible to determine derivatives of the learned functions using the parameter shift rule on the IBM hardware. …”
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Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics by Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad

“…Furthermore, our system demonstrates synapse-like learning functions, storing and retrieving short-term (STM) and long-term memory (LTM). …”
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Bridging Hydrological Ensemble Simulation and Learning Using Deep Neural Operators by Alexander Y. Sun, Peishi Jiang, Pin Shuai, Xingyuan Chen

“…Neural operators are generic machine learning algorithms that can learn functional mappings between infinite‐dimensional spaces, providing a highly flexible tool for scientific machine learning. …”
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Effects of a virtual simulative diabetes care program on learning ability and clinical thinking skills in nursing interns by Tianhui Xu, Qin Wang, Fang Liu, Li Yang, Rong Wang, Huiting Weng

“…The virtual simulation program was rated as effective, with an overall score of 8.37 ± 1.20 and "Excellent" ratings for learning functionality. Conclusions The virtual simulation-based diabetes care program significantly improved nursing interns’ learning and clinical skills.…”
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Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco by Rachid Flouchi, Mohamed El Far, Abdelaziz Hibatallah, Abderrahim Elmniai, Ibtissam Rhbibou, Ibrahim Touzani, Naoufal El Hachlafi, Kawtar Fikri-Benbrahim

“…The SSIs’ risk factors were assessed by univariate statistical analysis and logistic regression using the Scikit Learn function of Python. Results: The average age of the studied population was 35 ± 1 years. …”
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Congruent Learning for Self-Regulated Federated Learning in 6G by Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Adam Orucu, Masoumeh Ebrahimi, Andreas Johnsson

“…Future 6G networks are expected to be AI-native with distributed machine learning functionalities responsible for improving and automating a variety of network- and service-management tasks. …”
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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…The models combine the adaptability of Gaussian Processes with the deep learning functionalities of RBM, LSTM, and CNN to improve prediction precision and uncertainty assessment. …”
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VANTAGE: An open‐source application for visualisation, navigation and analysis of video and ancillary time‐series data in bio‐logging studies by Stefan Schoombie, Tagen deWet, Stefan Britz, Andrew D. Lowther, W. Chris Oosthuizen

“…VANTAGE aims to simplify time‐consuming data processing and analyses through (1) concurrent visualisation of video footage and accompanying bio‐logger time‐series data, (2) temporal synchronisation of the different data streams, (3) efficient annotation across data types, and (4) video enhancement and machine learning functionalities. We illustrate both manual and automated synchronisation of animal‐borne video and accelerometer‐depth data (obtained from foraging penguins) using VANTAGE. …”
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Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization by Ningning Hu, Yucheng Deng, Lujia Ding, Lijun Men, Wenjun Zhang, Ruixue Yin

“…These results demonstrate the potential of integrating machine learning, functional nanomaterials, and TPP microfabrication to enable scalable, high-precision production of intelligent microsensors for biomedical and soft robotic applications.…”
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Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application by Chao Li, Ji Chen, Mengshi Dong, Hao Yan, Feng Chen, Ning Mao, Shuai Wang, Xiaozhu Liu, Yanqing Tang, Fei Wang, Jie Qin

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Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Pr... by Linda Marie Rinehart, Justin Anker, Amanda Unruh, Nikki Degeneffe, Paul Thuras, Amie Norden, Lilly Hartnett, Matt Kushner

“…ResultsWhile the development of the digital intervention was successful, the timeline was approximately double that projected (1 vs 2 years) due to false starts and inefficiencies that we describe, including lessons learned. Functional testing of the newly developed digital intervention showed that, on average, patients rated the user experience in the upper (favorable) 20% of the response scales. …”
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Ischemic Postconditioning Regulates New Cell Death Mechanisms in Stroke: Disulfidptosis by Shanpeng Liu, Qike Wu, Can Xu, Liping Wang, Jialing Wang, Cuiying Liu, Heng Zhao

“…Our comprehensive study employed various analytical approaches, including machine learning, functional enrichment analysis, immune analysis, drug sensitivity analysis, and qPCR experiments, to gain insights into the molecular mechanisms underlying these processes. …”
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