Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…In this research, a hybrid approach utilises techniques with quantum computing capabilities to tackle complex problems that are not amenable to conventional ML algorithms and to minimise computational expenses. …”
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Improving accuracy of self-reported diagnoses of rheumatoid arthritis in the French prospective E3N-EPIC cohort: a validation study by Marie-Christine Boutron-Ruault, Yann Nguyen, Carine Salliot, Gaëlle Gusto, Elise Descamps

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White matter hyperintensity burden and infarct volume predict functional outcomes in anterior choroidal artery stroke: a multimodal MRI study by Weiwei Gao, Weiwei Gao, Weiwei Gao, Mingyang Wang, Jianzhong Lin, Junyi Huang, Lijuan Cai, Lijuan Cai, Xingyu Chen, Xingyu Chen, Renjing Zhu, Renjing Zhu, Renjing Zhu

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Developing a molecular diagnostic model for heatstroke-induced coagulopathy: a proteomics and metabolomics approach by Qingbo Zeng, Qingwei Lin, Longping He, Lincui Zhong, Ye Zhou, Xingping Deng, Nianqing Zhang, Qing Song, Qing Song, Jingchun Song, Jingchun Song

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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

“…This study systematically reviews new challenges and research trends in the field of smart grid optimization, focusing on key issues such as power flow optimization, load scheduling, and reactive power compensation. …”
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Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach by Jana Vojteková, Saeid Janizadeh, Matej Vojtek, Anna Tirpáková, Matej Ruttkay, František Petrovič

“…The results of the random forest model were also validated with the recently documented HODFs via the archeological research.…”
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Comparing the Effectiveness of R and S Roughness Parameters on Surfaces Lubricated with Standardized Nominal Particle Size Lubricants by Leire Mendieta-Echevarría, María Ana Sáenz-Nuño, Eva María Rubio

“…One of the problems that can generate the appearance of particles in the oil is the poor distribution of this along the surface, using standards, standardised particle sizes, and following the standard. This research aims to implement effective algorithms for the calculation of profile and surface roughness parameters following existing standards, as well as the development of a morphological filter that will simulate particles on the surface. …”
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Advanced control parameter optimization in DC motors and liquid level systems by Serdar Ekinci, Davut Izci, Mohammad H. Almomani, Kashif Saleem, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Absalom E. Ezugwu, Laith Abualigah

“…Abstract In recent times, there has been notable progress in control systems across various industrial domains, necessitating effective management of dynamic systems for optimal functionality. A crucial research focus has emerged in optimizing control parameters to augment controller performance. …”
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Duty of care, data science, and gambling harm: A scoping review of risk assessment models by Virve Marionneau, Kim Ristolainen, Tomi Roukka

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Applications of Artificial Intelligence in the Study and Diagnosis of Orbital Pathologies: State of the Art and Future Directions by Luca Michelutti, Alessandro Tel, Massimo Robiony, Edoardo Agosti, Tamara Ius, Giuseppe Catapano, Caterina Gagliano, Marco Zeppieri

“…Results: AI algorithms represent an innovative tool for orbital diagnostics with potential applications in screening, surgery planning, and follow-up. …”
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ScRNA-seq reveals novel immune-suppressive T cells and investigates CMV-TCR-T cells cytotoxicity against GBM by Wei Gao, Qing Liu, Xiang Lin, Yiming Zhao, Minghua Wu, Shuai Chen, Peng Du, Meng Huang, Cheng Huang, Xiangyu Wang, Xinmiao Long, Zuping Zhang, Yuzhe Li, Kun Deng, Xiaoling She, Minfu Zhang, Shiyi Wang, Yinfei Du

“…Furthermore, there has been almost no engineered T-cell receptor (TCR)-T targeting CMV for GBM research to date.Methods We evaluated the CMV infection status of patients with GBM’s tumor tissue by immune electron microscopy, immunofluorescence, and droplet digital PCR. …”
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In Vivo Insights: Near-Infrared Photon Sampling of Reflectance Spectra from Cranial and Extracranial Sites in Healthy Individuals and Patients with Essential Tremor by Antonio Currà, Riccardo Gasbarrone, Davide Gattabria, Giuseppe Bonifazi, Silvia Serranti, Daniela Greco, Paolo Missori, Francesco Fattapposta, Alessandra Picciano, Andrea Maffucci, Carlo Trompetto

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The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features by H. Müller Schmied, H. Müller Schmied, T. Trautmann, S. Ackermann, D. Cáceres, M. Flörke, H. Gerdener, E. Kynast, T. A. Peiris, L. Schiebener, M. Schumacher, P. Döll, P. Döll

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Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review by Sunshine A. De Caires, Chaney St Martin, Melissa A. Atwell, Fuat Kaya, Glorious A. Wuddivira, Mark N. Wuddivira

“…This review is a valuable resource for researchers, practitioners, and policymakers engaged in data-driven land and soil management.…”
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Flexible Configurable Modular Neural Network-Based OFDM Receiver by A. B. Sergienko, P. V. Apalina, A. D. Lebedinskaya

“…The proposed OFDM receiver for all considered modulation types provided error rates comparable to those of the baseline algorithms under favorable channel conditions (moderate delay spread with low Doppler spread) and outperformed baseline algorithms in severe conditions (channel with a large delay spread and high Doppler spread). …”
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Python-Based Implementation of Metaheuristic MPPT Techniques: A Cost-Effective Framework for Solar Photovoltaic Systems in Developing Nations by Syed Majed Ashraf, M. Saad Bin Arif, Mohammed Khouj, Shahrin Md. Ayob, Muhammad I. Masud

“…Due to this, the simulation and analysis of these MPPT algorithms for developing and underdeveloped countries added an extra economic burden. …”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…In particular, applications in scientific research may prove especially challenging due to the potential novelty of meta-testing tasks. …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…So, the edible Hu sheep was chosen as the research object for meat sheep. We constructed a systematic biosignal detecting, processing, and modeling method. …”
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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“…Our research can inform the development of future compression techniques that adapt factorization strategies to the inherent structure of models and their tasks. …”
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Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients by Irshad Ahmed Abbasi, Mohammed Alshehri, Yahya AlQahtani

“…These methods encompassed adaptive threshold algorithms, batch processing pipelines, and image attribute extraction algorithms. …”
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