Text Mining Strategy Identifies Gene Networks Under Control of miR‐21 in Breast Cancer Development by Hong Ye, Yuyu Wu, Richard Tran, Jie Wang

“…While informative, the results are derived from literature‐based data and may be influenced by text‐mining limitations, underscoring the need for experimental validation.…”
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Procedural Point Cloud and Mesh Editing for Urban Planning Using Blender by Gorazd Gorup, Žiga Lesar, Matija Marolt, Ciril Bohak

“…Urban planning has become increasingly complex, necessitating the use of digitized data, large-scale city scans, and advanced tools for planning and development. …”
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Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning by Rajesh Kumar Balaraman, Shaista Hussain, John Kgee Ong, Qing Yang Tan, Nagarajan Raghavan

“…Traditional density measurement methods, like the Archimedes technique, have been employed to determine the density of maraging steel samples produced under varying machine settings (MACH-S) process parameters, including laser power and scan speed. …”
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Upskilling consumers for the digital health era: a content analysis of resources for consumer representative training by Jing Hern Kevin Poh, Clare Mullen, Sonali Munot, Pip Brennan, Clara Chow, Edel O’Hagan

“…Concurrently, consumer involvement in digital health research has grown, but often relegated to late stages like user experience testing, for which a fundamental capability is digital health literacy. …”
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Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis by Felix Agbavor, Hualou Liang

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Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review by Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos

“…These can be addressed by integrating artificial intelligence techniques, like deep learning (DL), with several aspects of the IVF process. …”
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Seismic Identification and Characterization of Deep Strike-Slip Faults in the Tarim Craton Basin by Fei Tian, Wenhao Zheng, Aosai Zhao, Jingyue Liu, Yunchen Liu, Hui Zhou, Wenjing Cao

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Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis by Reshma Sreejith, R.Kanesaraj Ramasamy, Wan-Noorshahida Mohd-Isa, Junaidi Abdullah

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TrBot: A Turkish Deep Learning Chatbot Utilizing Seq2Seq Model by Bilal Babayigit, Habibelahi Rahmani, Mohammed Abubaker

“…This study demonstrates that with adequate data and appropriate modeling techniques, it is possible to create effective conversational agents for complex languages like Turkish, paving the way for further advancements in this domain.…”
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Locally rendered high-resolution Land Use/Land Cover Bitmaps from OpenStreetMap Data for geospecific 3D Simulation by D. Frommholz

“…The automatic workflow utilizes free software and open formats, does not require web services nor graphical GIS applications and can be run by novice cartographers. In the process, offline vector data sets from the collaborative mapping project are prepared into self-contained transferable database files that arrange relevant geometric features and attributes as spatially indexed tables for fast access. …”
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THE ETHICAL STARTUP? by Alexis Walker

“…The complexities of these tasks include taking control of their genetic data, assessing scientific risk, postulating future scenarios, quickly learning enough genetic science to become ably informed as part of a consent process, and engaging in ongoing monitoring of developments with the platform. …”
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Machine Description File-based Monte Carlo Simulation Modeling and its Validation Using Pencil Beam Scanning Proton Therapy Commissioning Data by Umesh Bharat Gayake, Bhushankumar J. Patil, Kantaram Darekar, Gaurav T. Bholane, Sanjay D. Dhole, Lalit Chaudhary, Siddhartha Laskar

“…The validation process employed a MDF containing commissioning beam data, assessing 36 spread-out Bragg peak plans by evaluating range, modulation, distal dose fall-off, and lateral profile characteristics at varying depths. …”
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A novel approach of generating pseudo revisited soil sample data based on environmental similarity for space-time soil organic carbon modelling by Wenkai Cui, Lin Yang, Lei Zhang, Chenconghai Yang, Chenxu Zhu, Chenghu Zhou

“…Soil Organic Carbon (SOC) is vital for the global carbon cycle, agricultural sustainability, and climate change. Process-based models like Rothamsted carbon model (RothC) simulate SOC dynamics, but their accuracy relies on revisited soil samples for calibration, which are often scarce, especially in environmentally heterogeneous regions. …”
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Identification of distortion of the navigator's time in model experiment by П.С. Носов, В.В. Чернявский, С.М. Зинченко, И.С. Попович, Ю.А. Прокопчук, М.С. Сафонов

“…The carried out analysis of experimental data and investigations of marine accidents provided us with valuable insights of having wide range of cases in which navigators, while performing complex maneuvers (i.e. mooring operation), are highly likely to be involved into facing challenges of getting poor time comprehension during template implementation process. …”
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Meta-analysis of proteomics data from osteoblasts, bone, and blood: Insights into druggable targets, active factors, and potential biomarkers for bone biomaterial design by Johannes R Schmidt, Klaudia Adamowicz, Lis Arend, Jörg Lehmann, Markus List, Patrina SP Poh, Jan Baumbach, Stefan Kalkhof, Tanja Laske

“…An innovative, integrated framework consisting of data harmonization, candidate protein selection, network construction, and functional enrichment as well as drug repurposing and protein scoring metrics was developed. …”
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A practical probabilistic prediction of road traffic noise from a filtered poisson process model with a simplified elementary time pattern of triangular type by Shizuma YAMAGUCHI, Mitsuo OHTA, Kazumasa NAKAMURA

“…In such cases, very often, the sound propagation characteristic was first restricted to an idealized case like a free sound field, and then sometimes extended to an arbitrary sound propagation environment. …”
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Comprehensive Characterization of the Odor-Active Compounds in Different Processed Varieties of Yunnan White Tea (<i>Camellia sinensis</i>) by GC×GC-O-MS and Chemometrics by Junaid Raza, Baosong Wang, Yue Duan, Huanlu Song, Ali Raza, Dongfeng Wang

“…This study describes the impact of processing conditions on the flavor profile of white tea and provides a solid foundation for monitoring the aroma quality of different processed white tea varieties.…”
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Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks by Georgios Lekkas, Eleni Vrochidou, George A. Papakostas

“…These findings underline the significance of using appropriate transformation methods, suggesting that the incorporation of time–frequency analysis and nonlinear feature extraction in the transformation process improves the effectiveness of CNN-based classification for biological data.…”
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Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption by Retno Wahyusari, Sunardi Sunardi, Abdul Fadlil

“…CatBoost also demonstrated stable performance regardless of normalization. Data pre-processing, specifically min-max normalization, is crucial for improving the accuracy of distance-based algorithms like KNN. …”
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Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model by Qianchuan Mi, Zhiguo Huo, Meixuan Li, Lei Zhang, Rui Kong, Fengyin Zhang, Yi Wang, Yuxin Huo

“…These efforts signify a notable application of multi-source data fusion techniques and the integration of physical process models within a big data context, thereby facilitating effective drought prevention, agricultural management, and mitigation strategies.…”
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